WO2019141224A1 - Conflict management method and system for multiple mobile robots - Google Patents

Conflict management method and system for multiple mobile robots Download PDF

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WO2019141224A1
WO2019141224A1 PCT/CN2019/072265 CN2019072265W WO2019141224A1 WO 2019141224 A1 WO2019141224 A1 WO 2019141224A1 CN 2019072265 W CN2019072265 W CN 2019072265W WO 2019141224 A1 WO2019141224 A1 WO 2019141224A1
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node
mobile robot
path
mobile
mobile robots
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PCT/CN2019/072265
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French (fr)
Chinese (zh)
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刘清
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库卡机器人(广东)有限公司
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0289Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling with means for avoiding collisions between vehicles
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0234Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using optical markers or beacons
    • G05D1/0236Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using optical markers or beacons in combination with a laser
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0221Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0238Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
    • G05D1/024Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle

Abstract

Provided are a conflict management method and system for multiple mobile robots, belonging to the field of robots. The conflict management method for multiple mobile robots comprises: acquiring respective current positions and planned paths of multiple mobile robots, wherein a predetermined region comprises multiple node regions; determining respective path section conditions of the current positions of the multiple mobile robots, wherein the path section conditions comprise winding path sections or linear path sections; and respectively allocating, to the multiple mobile robots, a corresponding number of node regions adjacent to the respective current positions thereof according to the path section conditions, wherein the number of node regions corresponding to the winding path sections is greater than the number of node regions corresponding to the linear path sections, and the mobile robots are configured to only pass through the node regions allocated thereto. Therefore, conflict management is realized via the allocation of nodes, and the probability of conflicts and collisions of mobile robots near a bend is reduced.

Description

多移动机器人的冲突管理方法及系统Multi-mobile robot conflict management method and system
相关申请的交叉引用Cross-reference to related applications
本申请要求2018年01月19日提交的中国专利申请201810055322.4的权益,该申请的内容通过引用被合并于本文。The present application claims the benefit of Chinese Patent Application No. 20181005532, filed on Jan. 19, 2011-0, the content of which is hereby incorporated by reference.
技术领域Technical field
本发明涉及机器人领域,具体地涉及一种多移动机器人的冲突管理方法及系统。The present invention relates to the field of robots, and in particular to a method and system for conflict management of multiple mobile robots.
背景技术Background technique
在密集区域(例如物流仓库区域)内布设多个移动机器人,并由这些移动机器人来完成诸如搬运货物的任务,以替代人工劳动,是目前物联网领域的研究重点。It is the research focus of the current Internet of Things field to deploy a plurality of mobile robots in a dense area (for example, a logistics warehouse area), and to perform tasks such as moving goods to replace manual labor.
为了避免密集区域中的多个移动机器人之间在作业时候的碰撞,目前一般采用了如下两种不同的处理方案:其一,是通过机器人当前的局部环境信息,让机器人具有良好的冲突消解能力;其二,是集中管理式冲突消解,其主要是通过将机器人的运动路径分段来消除冲突。In order to avoid collisions between multiple mobile robots in a dense area during operation, two different processing schemes are generally adopted as follows: First, the robot has good conflict resolution capability through the current local environment information of the robot. The second is centralized management conflict resolution, which is mainly to eliminate conflicts by segmenting the motion path of the robot.
但是,本申请的发明人在实践本申请的过程中发现上述现有技术中至少存在如下缺陷:其一,分布式方法虽然运算简单、实时性和灵活性强,但由于会出现局部极点,往往无法完整地完成任务;其二,集中管理式方法能够较精确地执行任务,但极容易导致机器人运行路径冲突,通常要寻找最优解,但计算量很大、实时性差,并且在计算过程往往不会兼顾规划路径的自身特点,但是过弯道的移动机器人由于拐弯角度的不确定性,使得将移动机器人执行弯道和执行直道的条件都统一化计算,会导致移动机器人在弯道附近发生路径冲突,对此目前业界仍然无法提出较佳的解决方案。However, the inventors of the present application found in the prior art that at least the following drawbacks exist in the prior art: First, the distributed method is simple in operation, real-time and flexible, but due to local poles, often The task cannot be completed completely; secondly, the centralized management method can perform tasks more accurately, but it is very easy to cause the robot to run path conflicts, usually looking for the optimal solution, but the calculation is large, the real-time performance is poor, and the calculation process is often It does not take into account the characteristics of the planning path. However, due to the uncertainty of the turning angle, the mobile robot passing the corner makes the conditions for the mobile robot to perform the curve and execute the straight channel unified, which will cause the mobile robot to occur near the corner. Path conflicts, for which the industry still cannot propose a better solution.
发明内容Summary of the invention
本发明实施例的目的是提供一种多移动机器人的冲突管理方法及系统,用以至少解决多移动机器人在密集区域内集中调度所导致的路径冲突问题。An object of the embodiments of the present invention is to provide a collision management method and system for a multi-mobile robot, which is to solve at least a path conflict problem caused by centralized scheduling of multiple mobile robots in a dense area.
为了实现上述目的,本发明实施例提供一种多移动机器人的冲突管理方法,包括:获取多个移动机器人各自的当前位置和规划路径,其中所述规划路径能够绕开预定区域内的障碍物,以及所述预定区域包括多个节点区域;确定所述多个移动机器人的所述当 前位置各自所处的路径分段条件,其中所述路径分段条件包括弯曲路径分段或直线路径分段;以及根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域,其中弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及所述移动机器人被配置成只从经分配的节点区域通过。In order to achieve the above object, an embodiment of the present invention provides a conflict management method for a multiple mobile robot, including: acquiring a current location and a planned path of each of the plurality of mobile robots, wherein the planned path can bypass an obstacle in the predetermined area, And the predetermined area includes a plurality of node areas; determining a path segmentation condition in which the current positions of the plurality of mobile robots are respectively, wherein the path segmentation condition comprises a curved path segment or a straight path segment; And assigning, according to the path segmentation condition, a corresponding number of node regions adjacent to the respective current positions of the plurality of mobile robots, wherein the number of node regions corresponding to the curved path segment is greater than the straight path segment The number of node regions corresponding to the segment, and the mobile robot is configured to pass only from the assigned node region.
可选的,所述根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域包括:当确定移动机器人的所述路径分段条件为弯曲路径分段时,确定关于所述弯曲分段的起始节点区域和终止节点区域;为所确定的所述移动机器人分配自所述起始节点区域到所述终止节点区域的对角线所经过的所有的节点区域。Optionally, the assigning, according to the path segmentation condition, the corresponding number of node regions adjacent to the respective current positions of the plurality of mobile robots respectively: when determining the path segment of the mobile robot Determining a starting node region and a terminating node region with respect to the curved segment when the condition is a curved path segment; assigning a diagonal from the starting node region to the terminating node region for the determined mobile robot All node areas that the line passes through.
可选的,在所述根据所述路径分段条件为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域之后,该方法还包括:判断是否存在为不同的移动机器人所分配的节点区域重合的情形;以及当为第二移动机器人所分配的第二节点区域与已分配至第一移动机器人的节点区域之间存在重合时,标记所述存在重合的节点区域为冲突状态的冲突节点区域,并确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突。Optionally, after the multiple mobile robots are respectively allocated a corresponding number of node regions adjacent to the respective current positions according to the path segmentation condition, the method further includes: determining whether the presence is different a case where the node regions allocated by the mobile robot coincide; and when there is a coincidence between the second node region allocated for the second mobile robot and the node region assigned to the first mobile robot, the nodes having the coincidence are marked The area is a conflicting node area of the conflict state, and it is determined that there is a planned path conflict between the first mobile robot and the second mobile robot.
可选的,在所述确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突之后,所述方法还包括:控制所述第二移动机器人暂停运行移动,并控制所述第一移动机器人按照其所对应的规划路径继续运行移动;以及当检测到所述第一移动机器人已经通过所述冲突节点区域时,将该冲突节点区域重新分配至所述第一移动机器人。Optionally, after the determining that there is a planned path conflict between the first mobile robot and the second mobile robot, the method further includes: controlling the second mobile robot to pause the running movement, and controlling the The first mobile robot continues to operate in accordance with its corresponding planned path; and when it is detected that the first mobile robot has passed the conflicting node area, the conflicting node area is reallocated to the first mobile robot.
具体的,所述获取多个移动机器人各自的当前位置和规划路径包括:向各个所述移动机器人发送调度命令,其中所述调度命令包含各个移动机器人的目标节点区域信息;响应于所述调度命令,从所述多个移动机器人接收规划路径,其中所述规划路径为各个所述移动机器人根据各自的目标节点区域信息并通过A*算法计算所确定的。Specifically, the acquiring the current location and the planned path of each of the plurality of mobile robots includes: transmitting a scheduling command to each of the mobile robots, wherein the scheduling command includes target node area information of each mobile robot; and responding to the scheduling command Receiving a planned path from the plurality of mobile robots, wherein the planned path is determined by each of the mobile robots according to respective target node region information and calculated by an A* algorithm.
本发明实施例另一方面提供一种多移动机器人的冲突管理系统,包括:初始信息获取单元,配置为获取多个移动机器人各自的当前位置和规划路径,其中所述规划路径能够绕开预定区域内的障碍物,以及所述预定区域包括多个节点区域;路径分段条件确定单元,配置为确定所述多个移动机器人的所述当前位置各自所处的路径分段条件,其中所述路径分段条件包括弯曲路径分段或直线路径分段;节点区域分配单元,配置为根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前 位置相邻的节点区域,其中弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及所述移动机器人被配置成只从经分配的节点区域通过,具体的,可以是移动机器人只有从服务器接收到关于下一分配的节点区域的指令时,才会执行移动,即使其可能已经自主规划好了运行路径。Another aspect of the embodiments of the present invention provides a conflict management system for a multi-mobile robot, including: an initial information acquiring unit configured to acquire a current location and a planned path of each of the plurality of mobile robots, wherein the planned path can bypass the predetermined area An obstacle within the space, and the predetermined area includes a plurality of node areas; a path segmentation condition determining unit configured to determine a path segmentation condition in which the current positions of the plurality of mobile robots are respectively, wherein the path The segmentation condition includes a curved path segment or a straight path segment; the node region allocating unit is configured to respectively allocate a corresponding number of the plurality of mobile robots adjacent to the respective current positions according to the path segmentation condition a node area, wherein the number of node areas corresponding to the curved path segment is greater than the number of node areas corresponding to the linear path segment, and the mobile robot is configured to pass only from the allocated node area, specifically, It is the mobile robot that only receives the node area for the next assignment from the server. The move is only executed when the command is executed, even though it may have planned the run path autonomously.
可选的,所述节点区域分配单元包括端节点确定模块,配置为当确定移动机器人的所述路径分段条件为弯曲路径分段时,确定关于所述弯曲分段的起始节点区域和终止节点区域;弯曲分配模块,配置为为所确定的所述移动机器人分配自所述起始节点区域到所述终止节点区域的对角线所经过的所有的节点区域。Optionally, the node area allocating unit includes an end node determining module configured to determine a starting node area and a termination with respect to the curved segment when determining that the path segmentation condition of the mobile robot is a curved path segment a node area; a bending distribution module configured to allocate, for the determined mobile robot, all of the node areas through which the diagonal of the starting node area to the terminating node area passes.
可选的,所述系统还包括:重合判断单元,配置为判断是否存在为不同的移动机器人所分配的节点区域重合的情形;冲突确定单元,配置为当为第二移动机器人所分配的第二节点区域与已分配至第一移动机器人的节点区域之间存在重合时,标记所述存在重合的节点区域为冲突状态的冲突节点区域,并确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突。Optionally, the system further includes: a coincidence determining unit configured to determine whether there is a situation in which the node regions allocated for the different mobile robots overlap; the conflict determining unit is configured to be the second assigned to the second mobile robot And when there is a coincidence between the node area and the node area that has been allocated to the first mobile robot, mark the conflicting node area where the overlapping node area is a conflict state, and determine the first mobile robot and the second mobile robot. There is a planned path conflict between them.
可选的,所述系统还包括:停留控制单元,配置为控制所述第二移动机器人暂停运行移动,并控制所述第一移动机器人按照其所对应的规划路径继续运行移动;以及重新分配单元,配置为当检测到所述第一移动机器人已经通过所述冲突节点区域时,将该冲突节点区域重新分配至所述第一移动机器人。Optionally, the system further includes: a stay control unit configured to control the second mobile robot to pause the running movement, and control the first mobile robot to continue to move according to the corresponding planned path; and the reallocation unit And configured to reallocate the conflicting node area to the first mobile robot when it is detected that the first mobile robot has passed the conflicting node area.
具体的,所述初始信息获取单元包括:调度命令发送模块,配置为向各个所述移动机器人发送调度命令,其中所述调度命令包含各个移动机器人的目标节点区域信息;规划路径接收模块,配置为响应于所述调度命令,从所述多个移动机器人接收规划路径,其中所述规划路径为各个所述移动机器人根据各自的目标节点区域信息并通过A*算法计算所确定的。Specifically, the initial information acquiring unit includes: a scheduling command sending module, configured to send a scheduling command to each of the mobile robots, where the scheduling command includes target node area information of each mobile robot; and the planning path receiving module is configured to A planning path is received from the plurality of mobile robots in response to the scheduling command, wherein the planning path is determined by each of the mobile robots according to respective target node area information and calculated by an A* algorithm.
通过上述技术方案,获取移动机器人的当前位置和规划路径,并根据多个移动机器人各自的当前位置和规划路径,并在移动机器人移动之前,根据移动机器人的当前位置和规划路径为移动机器人分配其下一步会经过的与移动机器人的位置相邻的节点区域,并且在弯曲路径分段所分配的节点区域的数量大于直线路径分段所对应的节点区域的数量,区分计算移动机器人执行弯道和执行直道的节点分配条件,有效降低了移动机器人在弯道附近发生冲突碰撞的概率。另外,在本发明实施例中通过对节点的分配来实现对冲突的管理,实现对处理器资源的低消耗,且具有较强的实时性。Through the above technical solution, the current position and the planned path of the mobile robot are obtained, and according to the current position and the planned path of each of the plurality of mobile robots, and before the mobile robot moves, the mobile robot is allocated according to the current position and the planned path of the mobile robot. The next step is the node area adjacent to the position of the mobile robot, and the number of node areas allocated in the curved path segment is greater than the number of node areas corresponding to the straight path segment, and the calculation of the mobile robot performs the curve and The node assignment condition of the straight track is implemented, which effectively reduces the probability of a collision collision of the mobile robot near the curve. In addition, in the embodiment of the present invention, the management of the conflict is implemented by allocating the nodes, the low consumption of the processor resources is realized, and the real-time performance is strong.
本发明实施例的其它特征和优点将在随后的具体实施方式部分予以详细说明。Other features and advantages of embodiments of the invention will be described in detail in the Detailed Description.
附图说明DRAWINGS
附图是用来提供对本发明实施例的进一步理解,并且构成说明书的一部分,与下面的具体实施方式一起用于解释本发明实施例,但并不构成对本发明实施例的限制。在附图中:The drawings are intended to provide a further understanding of the embodiments of the invention. In the drawing:
图1是实施本发明一实施例的多移动机器人的冲突管理方法的密集区域的地图示例;1 is a diagram showing an example of a map of a dense area of a collision management method for a multi-mobile robot according to an embodiment of the present invention;
图2是本发明一实施例的多移动机器人的冲突管理方法的流程图;2 is a flowchart of a conflict management method for a multi-mobile robot according to an embodiment of the present invention;
图3是本发明一实施例中关于获取移动机器人的规划路径方法的流程图;3 is a flow chart of a method for acquiring a planned path of a mobile robot according to an embodiment of the present invention;
图4是本发明一实施例中关于预定区域的节点分布表的示例;4 is an example of a node distribution table regarding a predetermined area in an embodiment of the present invention;
图5是本发明一实施例的关于节点分配的示例;FIG. 5 is an example of node allocation according to an embodiment of the present invention; FIG.
图6是关于预定区域全局的节点资源表的示例;6 is an example of a node resource table global with respect to a predetermined area;
图7是本发明一实施例的多移动机器人经过弯曲路径时的节点分配的示例;7 is a diagram showing an example of node assignment when a multi-mobile robot passes a curved path according to an embodiment of the present invention;
图8是本发明另一实施例的冲突管理方法的流程图;FIG. 8 is a flowchart of a conflict management method according to another embodiment of the present invention; FIG.
图9是本发明一实施例的冲突管理系统的结构框图。FIG. 9 is a block diagram showing the structure of a conflict management system according to an embodiment of the present invention.
附图标记说明Description of the reference numerals
A1、A0、A、B    移动机器人              B1、B2   障碍物A1, A0, A, B mobile robot B1, B2 obstacles
N1、N2          节点                    902      路径分段条件确定单元N1, N2 node 902 path segmentation condition determination unit
901             初始信息获取单元        903      节点区域分配单元901 Initial information acquisition unit 903 Node area allocation unit
90多移动机器人的冲突管理系统More than 90 mobile robot conflict management systems
具体实施方式Detailed ways
以下结合附图对本发明实施例的具体实施方式进行详细说明。应当理解的是,此处所描述的具体实施方式仅用于说明和解释本发明实施例,并不用于限制本发明实施例。The specific embodiments of the embodiments of the present invention are described in detail below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are merely illustrative of the embodiments of the invention.
如图1所示,在实施本发明一实施例的多移动机器人的冲突管理方法的密集区域的地图中标注了多个障碍物B1、B2等,多个移动机器人A0、A1等,以及多个节点区域N1、N2等。其中,该密集区域可以是根据需要所预定的,例如其可以是指代仓库内的区域,该多个移动机器人A0、A1可以是指代多个物流机器人,以及通过该移动机器 人A0、A1的运行移动,可以实现搬运货物,但是在多个物流机器人同时运行的时候,可能会导致冲突。其中,不同的节点区域N1、N2的大小可以是相等的,其可以通过对密集区域的地图作等比例划分所形成的。需说明的是,本发明实施例的冲突管理方法可以是由集中管理该多个移动机器人的服务器所执行的。As shown in FIG. 1, a plurality of obstacles B1, B2, etc., a plurality of mobile robots A0, A1, etc., and a plurality of maps are arranged in a map of a dense area of a collision management method for a multi-mobile robot according to an embodiment of the present invention. Node areas N1, N2, and so on. Wherein, the dense area may be predetermined according to needs, for example, it may refer to an area in the warehouse, the plurality of mobile robots A0, A1 may refer to a plurality of logistics robots, and through the mobile robots A0, A1 Running the move can carry the goods, but when multiple logistics robots are running at the same time, it may cause conflicts. The sizes of the different node regions N1 and N2 may be equal, which may be formed by equally dividing the map of the dense regions. It should be noted that the conflict management method of the embodiment of the present invention may be performed by a server that centrally manages the plurality of mobile robots.
如图2所示,本发明一实施例的多移动机器人的冲突管理方法包括:As shown in FIG. 2, a conflict management method for a multi-mobile robot according to an embodiment of the present invention includes:
S201、获取多个移动机器人各自的当前位置和规划路径,其中规划路径能够绕开预定区域内的障碍物,以及预定区域包括多个节点区域。S201. Acquire a current location and a planned path of each of the plurality of mobile robots, wherein the planned path can bypass an obstacle in the predetermined area, and the predetermined area includes a plurality of node areas.
具体的,关于规划路径的获取方式,可以是由移动机器人所自主确定,并由其上传至服务器的,也可以是服务器通过计算所得出的,且以上都属于本发明的保护范围内。Specifically, the manner of obtaining the planned path may be determined by the mobile robot and uploaded to the server by the mobile device, or may be obtained by the server, and all of the above are within the protection scope of the present invention.
参见图3示出的是关于规划路径的获取方式的一种可选实施方式,移动机器人可以是AGV(Automated Guided Vehicle激光导航车辆),其中该获取方法包括:S301、服务器可以向各个移动机器人发送调度命令,其中调度命令包含各个移动机器人的目标节点区域信息。S302、在各个移动机器人接收到各自的调度命令之后,其会根据各自的目标节点区域信息并通过A*算法计算各自的相应的规划路径。S303、各个移动机器人会将计算所得到的各自的规划路径发送至服务器。在服务器获取到各个移动机器人所发送的规划路径之后,会执行相应的后续处理,以保障移动机器人在执行规划路径的过程中不会发生路径冲突。作为示例,在地图上可以具有多个分别具有唯一的节点ID的节点区域(例如图4所示的关于密集区域的节点分布表中的0、1…99号节点区域),移动机器人A0在接收到调度命令之后,需要从当前位置73号节点区域到达31号目标节点区域,此时移动机器人A0会通过A*算法计算到达31号目标节点区域的最短路径,由此保障移动机器人A0能够迅速到达目标节点区域。但是在此时的计算中并没有考虑到当前空间内的其他移动机器人例如A1的运行移动,其也只会考虑到静态的障碍物节点,而在移动机器人A0运行移动的过程中,空间内的其他移动机器人例如A1相对于这台移动机器人A0都是障碍物,因此需要采取防冲突措施以避开其他移动机器人以防止相撞。关于该冲突管理措施的细节,具体将在下文中展开。Referring to FIG. 3, which is an optional implementation manner of the acquisition manner of the planned path, the mobile robot may be an AGV (Automated Guided Vehicle), wherein the acquisition method includes: S301, the server may send to each mobile robot. A scheduling command, wherein the scheduling command includes target node area information of each mobile robot. S302. After each mobile robot receives the respective scheduling command, it calculates respective corresponding planning paths according to the respective target node region information and through the A* algorithm. S303. Each mobile robot sends the respective planned path obtained by the calculation to the server. After the server obtains the planned path sent by each mobile robot, corresponding subsequent processing is performed to ensure that the mobile robot does not have a path conflict during the execution of the planned path. As an example, there may be a plurality of node regions each having a unique node ID on the map (for example, node numbers 0, 1, ..., 99 in the node distribution table for the dense region shown in FIG. 4), and the mobile robot A0 is receiving After the scheduling command, it is necessary to reach the target node area No. 31 from the node area of the current position 73. At this time, the mobile robot A0 calculates the shortest path to the target node area No. 31 by the A* algorithm, thereby ensuring that the mobile robot A0 can arrive quickly. Target node area. However, in this calculation, the movement movement of other mobile robots such as A1 in the current space is not considered, and only the static obstacle nodes are considered, and in the process of moving the mobile robot A0, the space is Other mobile robots such as A1 are obstacles with respect to this mobile robot A0, so it is necessary to take anti-collision measures to avoid other mobile robots to prevent collision. Details on this conflict management measure will be expanded below.
S202、确定多个移动机器人的当前位置各自所处的路径分段条件,其中路径分段条件包括弯曲路径分段或直线路径分段。S202. Determine a path segmentation condition in which the current positions of the plurality of mobile robots are respectively, wherein the path segmentation condition includes a curved path segment or a straight path segment.
具体的,移动机器人在执行移动任务的过程中会向服务器上报当前位置,以及服务器可以将当前位置与S201中所获取的整体的规划路径进行比对,由此确定移动机器人是处于弯曲路径(例如路径拐点),还是处于直线路径。Specifically, the mobile robot reports the current location to the server during the execution of the mobile task, and the server can compare the current location with the overall planned path acquired in S201, thereby determining that the mobile robot is in a curved path (eg, The path inflection point) is still in a straight path.
S203、根据路径分段条件,为多个移动机器人分别分配相应数量的与其各自的当前位置相邻的节点区域,其中弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及移动机器人被配置成只从经分配的节点区域通过。S203. Assign, according to the path segmentation condition, a plurality of mobile robots respectively corresponding to the node regions adjacent to their respective current positions, where the number of node regions corresponding to the curved path segment is greater than the node corresponding to the linear path segment. The number of zones, as well as the mobile robot, are configured to pass only from the assigned node zone.
关于节点区域分配,是根据规划路径而进行的。并且,可以是在机器人A0在0时间点根据规划路径欲从第73号节点区域运行到63号节点区域之前,预先为A0分配63号节点区域。可选地,可以是根据移动机器人的需要(例如当移动机器人的速度较快时),第一移动机器人A分配多个供其下一步通过的多个节点区域,如图5所示,可以是根据机器人的运行路径为移动机器人A分配24号节点区域和25号节点区域,并为移动机器人B分配146号节点区域和147号节点区域等,且以上都属于本发明的保护范围内。The node area allocation is performed according to the planned path. Further, it is possible to assign the node area No. 63 to A0 in advance before the robot A0 wants to run from the node node area 73 to the node area 63 according to the planned path at the time point 0. Alternatively, it may be according to the needs of the mobile robot (for example, when the speed of the mobile robot is faster), the first mobile robot A allocates a plurality of node regions for the next step, as shown in FIG. 5, which may be The mobile robot A is assigned a node area No. 24 and a node area No. 25 according to the running path of the robot, and the node node area No. 146 and the node area No. 147 are assigned to the mobile robot B, and the above are all within the protection scope of the present invention.
关于移动机器人的配置,可以是移动机器人只有从服务器接收到关于下一分配的节点区域的指令时,才会执行移动,即使其可能已经自主规划好了运行路径。Regarding the configuration of the mobile robot, it may be that the mobile robot performs the movement only when an instruction regarding the next allocated node area is received from the server, even though it may have independently planned the operation path.
关于预定区域内的节点资源的分配可以是整体在节点资源表中来实现的,如图6示出了节点资源表的示例,在关于预定区域全局的节点资源表中统计各个节点资源被各个机器人所占用及分配的情况,包括机器人现在所占用的节点区域ID以及为机器人所分配的节点区域ID。并且,节点资源表会随着时间的变化而更新,为了防止移动机器人之间的资源冲突,其中一个节点资源可以只被一个移动机器人所占用,也就是同一个节点区域在节点资源表中不会同时对应两个移动机器人,并且同一个移动机器人可以同时对应多个节点区域。The allocation of the node resources in the predetermined area may be implemented as a whole in the node resource table, as shown in FIG. 6, which shows an example of the node resource table, and each node resource is counted by each robot in the node resource table globally with respect to the predetermined area. The occupied and allocated situation includes the node area ID currently occupied by the robot and the node area ID assigned to the robot. Moreover, the node resource table will be updated with time. In order to prevent resource conflicts between mobile robots, one of the node resources can be occupied by only one mobile robot, that is, the same node area will not be in the node resource table. At the same time, two mobile robots are corresponding, and the same mobile robot can simultaneously correspond to multiple node regions.
如图7所示,在移动机器人经过弯道时,应为其分配多个节点区域(如灰斜线所标注的节点区域),而不是在直行状态下的一个节点区域。由于移动机器人在执行移动任务时的不确定因素较多,为移动机器人在转弯的时候多分配预留节点资源,如上所述的,节点资源可以只被一次分配给一个移动机器人,可以保障移动机器人在转弯时,不会有其他移动机器人经过该弯曲路径分段,能够避免与其他移动机器人之间发生冲突碰撞;相应地,在移动机器人处于直行路径分段时,可以只为其分配少量的节点,例如一个节点,由此节约资源分配,提高资源利用效率。可选的,当移动机器人为基于A*算法的AGV时,由于其会自主导航,且不需要在原地换向,所以在转弯的时候,其自主性就更广,所以在弯曲路径(或拐点附近)发生碰撞的几率很大。相应地,本申请提出可以是如图7所示的确定弯曲分段的起始节点区域和终止节点区域,并相应地为所确定的该移动机器人分配自起始节点区域到终止节点区域的对角线所经过的所有的节点区域(当然也还可以包括其他移动机器人可能会使用的节点区域,例如对角线所经过的节 点区域的邻近节点区域),由此能够最大程度地减少在弯道处发生冲突碰撞的几率。As shown in Figure 7, when the mobile robot passes through a curve, it should be assigned multiple node areas (such as the node area marked by the gray diagonal line) instead of a node area in the straight line state. Since the mobile robot has more uncertain factors in performing the moving task, the mobile robot allocates reserved node resources when turning. As described above, the node resources can be allocated to one mobile robot only once, which can guarantee the mobile robot. When turning, no other mobile robot will segment through the curved path, and collision collision with other mobile robots can be avoided. Correspondingly, when the mobile robot is in the straight path segment, only a small number of nodes can be assigned to it. , for example, a node, thereby saving resource allocation and improving resource utilization efficiency. Optionally, when the mobile robot is an AGV based on the A* algorithm, since it will navigate autonomously and does not need to be reversing in place, when turning, its autonomy is wider, so in the curved path (or inflection point) Nearby) The chance of a collision is high. Correspondingly, the present application proposes to determine the starting node area and the ending node area of the curved segment as shown in FIG. 7, and correspondingly assign the pair of the determined mobile node from the starting node area to the ending node area. All the node areas through which the corners pass (of course, may also include node areas that other mobile robots may use, such as adjacent node areas of the node area through which the diagonal passes), thereby minimizing the curve in the corner The probability of a collision collision.
如图8所示,本发明一实施例的多移动机器人的冲突管理方法,包括:As shown in FIG. 8, a conflict management method for a multi-mobile robot according to an embodiment of the present invention includes:
S801、获取多个移动机器人各自的当前位置和规划路径,其中规划路径能够绕开预定区域内的障碍物,以及预定区域包括多个节点区域。S801. Acquire a current location and a planned path of each of the plurality of mobile robots, wherein the planned path can bypass an obstacle in the predetermined area, and the predetermined area includes a plurality of node areas.
S802、确定多个移动机器人的当前位置各自所处的路径分段条件,其中路径分段条件包括弯曲路径分段或直线路径分段。S802. Determine a path segmentation condition in which the current positions of the plurality of mobile robots are respectively, wherein the path segmentation condition includes a curved path segment or a straight path segment.
S803、根据路径分段条件,为多个移动机器人分别分配相应数量的与其各自的当前位置相邻的节点区域。S803. Assign a corresponding number of node regions adjacent to their respective current positions to the plurality of mobile robots according to the path segmentation condition.
其中,弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及移动机器人被配置成只从经分配的节点区域通过。The number of node regions corresponding to the curved path segment is greater than the number of node regions corresponding to the linear path segment, and the mobile robot is configured to pass only from the allocated node region.
S804、判断是否存在为不同的移动机器人所分配的节点区域重合的情形。S804. Determine whether there is a case where node regions allocated for different mobile robots overlap.
S805、当为第二移动机器人所分配的第二节点区域与已分配至第一移动机器人的节点区域之间存在重合时,标记所述存在重合的节点区域为冲突状态的冲突节点区域,并确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突。S805. When there is a coincidence between the second node area allocated for the second mobile robot and the node area allocated to the first mobile robot, mark the conflicting node area where the overlapping node area is a conflict state, and determine There is a planned path conflict between the first mobile robot and the second mobile robot.
具体的,图8所示的实施例可以被看作是图2所示实施例的进一步的优化,S801-S803的具体的细节可以参照上文实施例的描述,在此不再赘述,主要在于:图2可以是通过节点资源数量的分配的控制来防止冲突,但由于在弯曲路径分段所分配的节点资源较多,使得对弯曲路径分段的节点资源的管理就显得尤为重要了。通过S804和S805的实施可以实现对节点资源分配的检测,避免了同一节点区域被同时分配给两个移动机器人。作为示例,在一种情况下,如果为第一移动机器人A所分配节点资源区域为第10号节点区域,以及为第二移动机器人B所分配节点资源区域也为第10号节点区域;或者,在另一种情况下,如果为第一移动机器人A所分配节点资源区域包含第10号和11号节点区域,以及为第二移动机器人B所分配的节点区域包含第9号节点区域和第10号节点区域,则表明第一移动机器人A和第二移动机器人B存在重合的第10号节点区域,相应地标记该第10号节点为处于冲突状态的冲突节点区域。相应地,可以确定在第一移动机器人A与第二移动机器人B之间存在规划路径冲突,此时应当采取相应的冲突管理措施,具体地,可以是在存在冲突节点区域时,生成冲突通知信号,并将该冲突通知信号发送至运维终端以提醒运维人员来处理并解决移动机器人冲突等。Specifically, the embodiment shown in FIG. 8 can be regarded as a further optimization of the embodiment shown in FIG. 2. For specific details of S801-S803, reference may be made to the description of the foregoing embodiment, and details are not described herein again. FIG. 2 may prevent conflicts by controlling the allocation of the number of node resources, but since the node resources allocated in the curved path segmentation are large, the management of the node resources of the curved path segmentation is particularly important. Through the implementation of S804 and S805, the detection of the resource allocation of the node can be realized, and the same node area is prevented from being simultaneously allocated to the two mobile robots. As an example, in one case, if the node resource region allocated for the first mobile robot A is the node node region 10, and the node resource region allocated for the second mobile robot B is also the node node region 10; or In another case, if the node resource area allocated for the first mobile robot A includes the node areas No. 10 and No. 11, and the node area allocated for the second mobile robot B includes the node area No. 9 and the tenth The node area indicates that the first mobile robot A and the second mobile robot B have coincident node area No. 10, and accordingly, the tenth node is marked as a conflicting node area in a conflict state. Correspondingly, it may be determined that there is a planned path conflict between the first mobile robot A and the second mobile robot B. In this case, corresponding conflict management measures should be taken. Specifically, when there is a conflict node area, a conflict notification signal is generated. And sending the conflict notification signal to the operation and maintenance terminal to remind the operation and maintenance personnel to handle and solve the mobile robot conflict and the like.
可选地,在检测到第一移动机器人A或第二移动机器人B已经通过第10号冲突节点区域时,服务器可以将冲突节点区域重新从冲突状态转换为可被分配的状态,例如可 以以不同的标识(通过对节点颜色或形态的标注等)对冲突节点区域与可分配的节点区域之间进行区分,由此实现了对冲突节点恢复正常之后的再分配工作,保障了正常节点资源能够被移动机器人循环使用,提高了密集区域的利用效率。具体的,在确定第一移动机器人与第二移动机器人之间存在规划路径冲突之后,可以是服务器控制所述第二移动机器人暂停运行移动,并控制所述第一移动机器人按照其所对应的规划路径继续运行移动;以及当检测到所述第一移动机器人已经通过所述冲突节点区域时,将该冲突节点区域重新分配至第一移动机器人。由此,通过节点资源的分配,让其中一个移动机器人先通过冲突节点区域之后,再由另一个移动机器人通过该节点区域,有效解决了节点分配冲突的问题,降低了多移动机器人在运行过程中发生冲突碰撞的几率。Optionally, when detecting that the first mobile robot A or the second mobile robot B has passed the No. 10 conflicting node area, the server may re-convert the conflicting node area from the conflicting state to the assignable state, for example, may be different. The identification (by labeling the color or shape of the node, etc.) distinguishes between the conflicting node area and the assignable node area, thereby realizing the redistribution work after the conflicting node returns to normal, and ensuring that the normal node resources can be The mobile robot is recycled, which improves the utilization efficiency of dense areas. Specifically, after determining that there is a planned path conflict between the first mobile robot and the second mobile robot, the server may control the second mobile robot to pause the running movement, and control the first mobile robot according to the corresponding plan. The path continues to run the movement; and when it is detected that the first mobile robot has passed the conflicting node area, the conflicting node area is reallocated to the first mobile robot. Therefore, through the allocation of node resources, one mobile robot passes through the conflict node area first, and then another mobile robot passes the node area, which effectively solves the problem of node allocation conflict and reduces the operation of multiple mobile robots. The probability of a collision collision.
如图9所示,本发明一实施例的多移动机器人的冲突管理系统90,包括:初始信息获取单元901,配置为获取多个移动机器人各自的当前位置和规划路径,其中所述规划路径能够绕开预定区域内的障碍物,以及所述预定区域包括多个节点区域;路径分段条件确定单元902,配置为确定所述多个移动机器人的所述当前位置各自所处的路径分段条件,其中所述路径分段条件包括弯曲路径分段或直线路径分段;节点区域分配单元903,配置为根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域,其中弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及所述移动机器人被配置成只从经分配的节点区域通过。As shown in FIG. 9, a conflict management system 90 for a multi-mobile robot according to an embodiment of the present invention includes: an initial information acquiring unit 901 configured to acquire a current location and a planned path of each of a plurality of mobile robots, wherein the planned path can Surrounding an obstacle in a predetermined area, and the predetermined area includes a plurality of node areas; the path segmentation condition determining unit 902 is configured to determine a path segmentation condition in which the current positions of the plurality of mobile robots are respectively located The path segmentation condition includes a curved path segment or a straight path segment; the node region assigning unit 903 is configured to allocate a corresponding number of the respective mobile robots to their respective ones according to the path segmentation condition The node area adjacent to the current position, wherein the number of node areas corresponding to the curved path segment is greater than the number of node areas corresponding to the straight path segment, and the mobile robot is configured to only from the allocated node area by.
在一些实施方式中,所述节点区域分配单元903包括端节点确定模块,配置为当确定移动机器人的所述路径分段条件为弯曲路径分段时,确定关于所述弯曲分段的起始节点区域和终止节点区域;弯曲分配模块,配置为为所确定的所述移动机器人分配自所述起始节点区域到所述终止节点区域的对角线所经过的所有的节点区域。In some embodiments, the node area allocating unit 903 includes an end node determining module configured to determine a starting node with respect to the curved segment when determining that the path segmentation condition of the mobile robot is a curved path segment a region and a terminating node region; a bending distribution module configured to allocate, for the determined mobile robot, all of the node regions through which the diagonal from the starting node region to the terminating node region passes.
在一些实施方式中,所述系统还包括:重合判断单元,配置为判断是否存在为不同的移动机器人所分配的节点区域重合的情形;冲突确定单元,配置为当为第二移动机器人所分配的第二节点区域与已分配至第一移动机器人的节点区域之间存在重合时,标记所述存在重合的节点区域为冲突状态的冲突节点区域,并确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突。In some embodiments, the system further includes: a coincidence determining unit configured to determine whether there is a case where node regions allocated for different mobile robots coincide; a conflict determining unit configured to be allocated for the second mobile robot When there is a coincidence between the second node area and the node area that has been allocated to the first mobile robot, the overlapping node area is marked as a conflicting node area, and the first mobile robot and the second are determined. There is a planned path conflict between mobile robots.
在一些实施方式中,所述系统还包括:停留控制单元,配置为控制所述第二移动机器人暂停运行移动,并控制所述第一移动机器人按照其所对应的规划路径继续运行移动;以及重新分配单元,配置为当检测到所述第一移动机器人已经通过所述冲突节点区 域时,将该冲突节点区域重新分配至所述第一移动机器人。In some embodiments, the system further includes: a dwell control unit configured to control the second mobile robot to suspend the running movement, and control the first mobile robot to continue to move according to the corresponding planned path; and And an allocating unit configured to reallocate the conflicting node area to the first mobile robot when detecting that the first mobile robot has passed the conflicting node area.
在一些实施方式中,所述初始信息获取单元901包括:调度命令发送模块,配置为向各个所述移动机器人发送调度命令,其中所述调度命令包含各个移动机器人的目标节点区域信息;规划路径接收模块,配置为响应于所述调度命令,从所述多个移动机器人接收规划路径,其中所述规划路径为各个所述移动机器人根据各自的目标节点区域信息并通过A*算法计算所确定的。In some embodiments, the initial information obtaining unit 901 includes: a scheduling command sending module configured to send a scheduling command to each of the mobile robots, wherein the scheduling command includes target node area information of each mobile robot; planning path receiving And a module configured to receive a planning path from the plurality of mobile robots in response to the scheduling command, wherein the planning path is determined by each of the mobile robots according to respective target node region information and calculated by an A* algorithm.
需说明的是,本发明实施例所提供的多移动机器人的冲突管理系统可以是搭建在用于集中管理多移动机器人的服务器上的,并且如上所述的各个单元和模块可以是指代程序模块或单元。以及,关于本发明实施例系统的更多的细节和相应的技术效果可以参照上文方法实施例的描述,在此便不再赘述。It should be noted that the conflict management system of the multiple mobile robot provided by the embodiment of the present invention may be built on a server for centrally managing multiple mobile robots, and each unit and module as described above may refer to a program module. Or unit. For more details and corresponding technical effects of the system of the embodiment of the present invention, reference may be made to the description of the method embodiment above, and details are not described herein again.
上述本发明实施例的系统可用于执行本发明中相应的方法实施例,并相应的达到上述本发明方法实施例所达到的技术效果,这里不再赘述。The system of the embodiments of the present invention may be used to implement the corresponding method embodiments of the present invention, and correspondingly achieve the technical effects achieved by the foregoing method embodiments of the present invention, and details are not described herein again.
本发明实施例中可以通过硬件处理器(hardware processor)来实现相关功能模块。In the embodiment of the present invention, a related function module can be implemented by a hardware processor.
另一方面,本发明实施例提供一种存储介质,其上存储有计算机程序,该程序被处理器执行如上服务器所执行的多移动机器人的冲突管理方法的步骤。In another aspect, an embodiment of the present invention provides a storage medium having a computer program stored thereon, the program being executed by the processor as a step of a conflict management method of a multi-mobile robot executed by the server.
上述产品可执行本申请实施例所提供的方法,具备执行方法相应的功能模块和有益效果。未在本实施例中详尽描述的技术细节,可参见本申请实施例所提供的方法。The above products can perform the methods provided by the embodiments of the present application, and have the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.
以上结合附图详细描述了本发明实施例的可选实施方式,但是,本发明实施例并不限于上述实施方式中的具体细节,在本发明实施例的技术构思范围内,可以对本发明实施例的技术方案进行多种简单变型,这些简单变型均属于本发明实施例的保护范围。The embodiments of the present invention are described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the foregoing embodiments. The technical solution carries out a variety of simple variants, all of which fall within the scope of protection of embodiments of the invention.
另外需要说明的是,在上述具体实施方式中所描述的各个具体技术特征,在不矛盾的情况下,可以通过任何合适的方式进行组合。为了避免不必要的重复,本发明实施例对各种可能的组合方式不再另行说明。It should be further noted that the specific technical features described in the above specific embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, various possible combinations of the embodiments of the present invention are not separately described.
本领域技术人员可以理解实现上述实施例方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成,该程序存储在一个存储介质中,包括若干指令用以使得单片机、芯片或处理器(processor)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。Those skilled in the art can understand that all or part of the steps of implementing the foregoing embodiments may be completed by a program instructing related hardware, and the program is stored in a storage medium, and includes a plurality of instructions for causing a single chip, a chip or a processor. The processor performs all or part of the steps of the method described in the various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .
此外,本发明实施例的各种不同的实施方式之间也可以进行任意组合,只要其不 违背本发明实施例的思想,其同样应当视为本发明实施例所公开的内容。In addition, the various embodiments of the present invention may be combined in any combination, as long as they do not deviate from the idea of the embodiments of the present invention, and should also be regarded as the disclosure of the embodiments of the present invention.

Claims (10)

  1. 一种多移动机器人的冲突管理方法,包括:A conflict management method for multiple mobile robots, comprising:
    获取多个移动机器人各自的当前位置和规划路径,其中所述规划路径能够绕开预定区域内的障碍物,以及所述预定区域包括多个节点区域;Obtaining a current location and a planned path of each of the plurality of mobile robots, wherein the planned path is capable of bypassing an obstacle within the predetermined area, and the predetermined area includes a plurality of node areas;
    确定所述多个移动机器人的所述当前位置各自所处的路径分段条件,其中所述路径分段条件包括弯曲路径分段或直线路径分段;以及Determining a path segmentation condition in which the current positions of the plurality of mobile robots are respectively, wherein the path segmentation condition comprises a curved path segment or a straight path segment;
    根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域,其中弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及所述移动机器人被配置成只从经分配的节点区域通过。And assigning, according to the path segmentation condition, a plurality of node regions adjacent to the respective current positions of the plurality of mobile robots, wherein the number of node regions corresponding to the curved path segment is greater than the straight path segment The number of corresponding node regions, and the mobile robot is configured to pass only from the assigned node regions.
  2. 根据权利要求1所述的方法,其特征在于,所述根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域包括:The method according to claim 1, wherein the assigning a corresponding number of node regions adjacent to the respective current positions to the plurality of mobile robots according to the path segmentation condition comprises:
    当确定移动机器人的所述路径分段条件为弯曲路径分段时,确定关于所述弯曲分段的起始节点区域和终止节点区域;Determining a starting node region and a terminating node region with respect to the curved segment when determining that the path segmentation condition of the mobile robot is a curved path segment;
    为所确定的所述移动机器人,分配自所述起始节点区域到所述终止节点区域的对角线所经过的所有的节点区域。For the determined mobile robot, all of the node areas through which the diagonal of the starting node area to the terminating node area passes are assigned.
  3. 根据权利要求1所述的方法,其特征在于,在所述根据所述路径分段条件为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域之后,该方法还包括:The method according to claim 1, wherein after the plurality of mobile robots are respectively assigned a corresponding number of node regions adjacent to their respective current positions according to the path segmentation condition, The method also includes:
    判断是否存在为不同的移动机器人所分配的节点区域重合的情形;以及Determining whether there is a case where node regions allocated for different mobile robots coincide; and
    当为第二移动机器人所分配的第二节点区域与已分配至第一移动机器人的节点区域之间存在重合时,标记所述存在重合的节点区域为冲突状态的冲突节点区域,并确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突。When there is a coincidence between the second node area allocated for the second mobile robot and the node area allocated to the first mobile robot, marking the overlapping node area as a conflicting node area of the conflict state, and determining the There is a planned path conflict between the first mobile robot and the second mobile robot.
  4. 根据权利要求3所述的方法,其特征在于,在所述确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突之后,所述方法还包括:The method according to claim 3, wherein after the determining that there is a planned path conflict between the first mobile robot and the second mobile robot, the method further comprises:
    控制所述第二移动机器人暂停运行移动,并控制所述第一移动机器人按照其所对应的规划路径继续运行移动;以及Controlling the second mobile robot to suspend the running movement, and controlling the first mobile robot to continue to move according to the corresponding planned path; and
    当检测到所述第一移动机器人已经通过所述冲突节点区域时,将该冲突节点区域重新分配至所述第一移动机器人。When it is detected that the first mobile robot has passed the conflict node area, the conflict node area is reallocated to the first mobile robot.
  5. 根据权利要求1所述的方法,其特征在于,所述获取多个移动机器人各自的当前位置和规划路径包括:The method according to claim 1, wherein the obtaining the current location and the planned path of each of the plurality of mobile robots comprises:
    向各个所述移动机器人发送调度命令,其中所述调度命令包含各个移动机器人的目标节点区域信息;Sending a scheduling command to each of the mobile robots, wherein the scheduling command includes target node area information of each mobile robot;
    响应于所述调度命令,从所述多个移动机器人接收规划路径,其中所述规划路径为各个所述移动机器人根据各自的目标节点区域信息并通过A*算法计算所确定的。A planning path is received from the plurality of mobile robots in response to the scheduling command, wherein the planning path is determined by each of the mobile robots according to respective target node area information and calculated by an A* algorithm.
  6. 一种多移动机器人的冲突管理系统,包括:A conflict management system for multiple mobile robots, comprising:
    初始信息获取单元,配置为获取多个移动机器人各自的当前位置和规划路径,其中所述规划路径能够绕开预定区域内的障碍物,以及所述预定区域包括多个节点区域;An initial information acquiring unit configured to acquire a current location and a planned path of each of the plurality of mobile robots, wherein the planned path is capable of bypassing an obstacle within the predetermined area, and the predetermined area includes a plurality of node areas;
    路径分段条件确定单元,配置为确定所述多个移动机器人的所述当前位置各自所处的路径分段条件,其中所述路径分段条件包括弯曲路径分段或直线路径分段;a path segmentation condition determining unit configured to determine a path segmentation condition in which the current positions of the plurality of mobile robots are respectively, wherein the path segmentation condition comprises a curved path segment or a straight path segment;
    节点区域分配单元,配置为根据所述路径分段条件,为所述多个移动机器人分别分配相应数量的与其各自的所述当前位置相邻的节点区域,其中弯曲路径分段所对应的节点区域的数量大于直线路径分段所对应的节点区域的数量,以及所述移动机器人被配置成只从经分配的节点区域通过。a node area allocating unit configured to allocate, according to the path segmentation condition, a corresponding number of node areas adjacent to the respective current positions of the plurality of mobile robots, wherein the node area corresponding to the curved path segment The number is greater than the number of node regions corresponding to the straight path segment, and the mobile robot is configured to pass only from the assigned node region.
  7. 根据权利要求6所述的系统,其特征在于,所述节点区域分配单元包括The system of claim 6 wherein said node area allocation unit comprises
    端节点确定模块,配置为当确定移动机器人的所述路径分段条件为弯曲路径分段时,确定关于所述弯曲分段的起始节点区域和终止节点区域;An end node determining module configured to determine a starting node region and a terminating node region with respect to the curved segment when determining that the path segmentation condition of the mobile robot is a curved path segment;
    弯曲分配模块,配置为为所确定的所述移动机器人分配自所述起始节点区域到所述终止节点区域的对角线所经过的所有的节点区域。And a bending distribution module configured to allocate, for the determined mobile robot, all of the node regions through which the diagonal of the starting node region to the terminating node region passes.
  8. 根据权利要求6所述的系统,其特征在于,所述系统还包括:The system of claim 6 wherein the system further comprises:
    重合判断单元,配置为判断是否存在为不同的移动机器人所分配的节点区域重合的情形;a coincidence determination unit configured to determine whether there is a case where node regions allocated for different mobile robots overlap;
    冲突确定单元,配置为当为第二移动机器人所分配的第二节点区域与已分配至第 一移动机器人的节点区域之间存在重合时,标记所述存在重合的节点区域为冲突状态的冲突节点区域,并确定所述第一移动机器人与所述第二移动机器人之间存在规划路径冲突。a conflict determining unit configured to mark, when the second node area allocated for the second mobile robot has a coincidence with the node area allocated to the first mobile robot, the conflicting node that marks the overlapping node area as a conflicting state And determining that there is a planned path conflict between the first mobile robot and the second mobile robot.
  9. 根据权利要求8所述的系统,其特征在于,所述系统还包括:The system of claim 8 wherein the system further comprises:
    停留控制单元,配置为控制所述第二移动机器人暂停运行移动,并控制所述第一移动机器人按照其所对应的规划路径继续运行移动;以及a stay control unit configured to control the second mobile robot to pause the running movement and control the first mobile robot to continue to move according to the corresponding planned path;
    重新分配单元,配置为当检测到所述第一移动机器人已经通过所述冲突节点区域时,将该冲突节点区域重新分配至所述第一移动机器人。And a redistribution unit configured to redistribute the conflicting node area to the first mobile robot when it is detected that the first mobile robot has passed the conflicting node area.
  10. 根据权利要求6所述的系统,其特征在于,所述初始信息获取单元包括:The system according to claim 6, wherein the initial information acquisition unit comprises:
    调度命令发送模块,配置为向各个所述移动机器人发送调度命令,其中所述调度命令包含各个移动机器人的目标节点区域信息;a scheduling command sending module, configured to send a scheduling command to each of the mobile robots, wherein the scheduling command includes target node area information of each mobile robot;
    规划路径接收模块,配置为响应于所述调度命令,从所述多个移动机器人接收规划路径,其中所述规划路径为各个所述移动机器人根据各自的目标节点区域信息并通过A*算法计算所确定的。a planning path receiving module configured to receive a planning path from the plurality of mobile robots in response to the scheduling command, wherein the planning path is calculated by each of the mobile robots according to respective target node area information and by an A* algorithm definite.
PCT/CN2019/072265 2018-01-19 2019-01-18 Conflict management method and system for multiple mobile robots WO2019141224A1 (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113945216A (en) * 2021-10-15 2022-01-18 上海懒书智能科技有限公司 Path planning and managing system and method of mobile machine equipment
CN117325185A (en) * 2023-11-27 2024-01-02 成都越凡创新科技有限公司 Method for removing deadlock of mobile robot and scheduling equipment

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108287547B (en) * 2018-01-19 2021-05-07 广东美的智能机器人有限公司 Conflict management method and system for multiple mobile robots
CN111487957B (en) * 2019-01-28 2023-05-02 杭州海康机器人股份有限公司 AGV path planning method and device, electronic equipment and storage medium
CN112081490B (en) * 2019-06-14 2022-10-25 杭州海康机器人股份有限公司 Logistics control system, robot control device and automatic door control method
CN112578739B (en) * 2019-09-29 2022-03-29 杭州海康机器人技术有限公司 Scheduling method for mobile robot, scheduling server and storage medium
CN113126603B (en) * 2019-12-30 2023-06-23 杭州海康机器人股份有限公司 AGV scheduling method and device
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CN113465621B (en) * 2021-06-22 2022-09-20 同济大学 Dijkstra path planning method and device considering conflict probability and storage medium
CN114194183A (en) * 2021-12-23 2022-03-18 江苏木盟智能科技有限公司 Travel control method, system, terminal device, and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130325306A1 (en) * 2012-06-01 2013-12-05 Toyota Motor Eng. & Mftg. N. America, Inc. (TEMA) Cooperative driving and collision avoidance by distributed receding horizon control
CN104199428A (en) * 2014-09-17 2014-12-10 上海畔慧信息技术有限公司 Swarm robot management server and method implemented by same
CN105652838A (en) * 2016-01-29 2016-06-08 哈尔滨工大服务机器人有限公司 Multi-robot path planning method based on time window
CN107357293A (en) * 2017-07-31 2017-11-17 上海应用技术大学 Method for planning path for mobile robot and system
CN108287547A (en) * 2018-01-19 2018-07-17 广东美的智能机器人有限公司 The method for collision management and system of multiple mobile robot

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3730105A1 (en) * 1987-09-08 1989-03-16 Pietzsch Ibp Gmbh METHOD AND DEVICE FOR SECURING A VEHICLE OR DEVICE MOVING IN SPACE
KR101740529B1 (en) * 2015-12-30 2017-05-30 한국철도기술연구원 Path planning determination and allocation method of driverless ground vehicle
CN106547271B (en) * 2016-10-20 2019-07-09 大族激光科技产业集团股份有限公司 AGV traffic control method and apparatus
CN107091648A (en) * 2017-05-11 2017-08-25 江苏保千里视像科技集团股份有限公司 A kind of data fusion method and system of laser radar and differential GPS
CN107179773B (en) * 2017-07-25 2018-07-31 哈尔滨工大特种机器人有限公司 A kind of the evacuation dispatch control method and system of AGV

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130325306A1 (en) * 2012-06-01 2013-12-05 Toyota Motor Eng. & Mftg. N. America, Inc. (TEMA) Cooperative driving and collision avoidance by distributed receding horizon control
CN104199428A (en) * 2014-09-17 2014-12-10 上海畔慧信息技术有限公司 Swarm robot management server and method implemented by same
CN105652838A (en) * 2016-01-29 2016-06-08 哈尔滨工大服务机器人有限公司 Multi-robot path planning method based on time window
CN107357293A (en) * 2017-07-31 2017-11-17 上海应用技术大学 Method for planning path for mobile robot and system
CN108287547A (en) * 2018-01-19 2018-07-17 广东美的智能机器人有限公司 The method for collision management and system of multiple mobile robot

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113945216A (en) * 2021-10-15 2022-01-18 上海懒书智能科技有限公司 Path planning and managing system and method of mobile machine equipment
CN117325185A (en) * 2023-11-27 2024-01-02 成都越凡创新科技有限公司 Method for removing deadlock of mobile robot and scheduling equipment
CN117325185B (en) * 2023-11-27 2024-04-09 成都越凡创新科技有限公司 Method for removing deadlock of mobile robot and scheduling equipment

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