JP2006026828A - Robot motion planning method - Google Patents

Abstract

An object of the present invention is to provide a robot motion planning method capable of planning a stable motion from the initial posture to the final posture of the robot.
According to the robot motion planning method of the present invention, the motion connecting the initial posture and the final posture is planned based on the initial and final postures of the robot using probability, and acts on each part of the robot by gravity. In a static overturn determination step and a static overturn determination step that statically determine whether or not the robot falls over in a stopped state at a certain point in time based on a balance condition of a plurality of moments, When it is determined that the robot does not fall statically during the movement, it is dynamically determined that the robot will not fall during the movement considering the balance condition of multiple moments acting on the robot due to gravity and inertial force due to the movement. As described above, a speed / acceleration changing step for setting the speed and / or acceleration of each part of the robot is provided.
[Selection] Figure 1

Description

  The present invention relates to a robot motion planning method for planning a robot motion from an initial posture to a final posture based on a given initial posture and final posture.

  The ZMP norm is well known in walking control of a biped robot ([Patent Document 1], [Non-Patent Document 1]). ZMP (Zero Moment Point) means the moment of gravity and the moment of inertia of each member of this robot on the floor where the robot is located (if the external force is applied, the moment by the external force) This is the point where the sum is zero. The ZMP norm is a norm that the robot can move stably without falling if the ZMP is on or inside a support polygon (called a stable region) formed by the ground contact surface of the robot. ([Non-Patent Document 2]).

  Note that the ZMP norm is not only applied to biped robots, but is also effective for robots that move by wheels or the like. In addition, when operating the robot itself or the arm of the robot, it is necessary to set the route. [Non-Patent Document 3] below describes route planning using a probability mechanism. In the method of [Non-Patent Document 3], a start position (initial posture) and a goal position (final posture) are set, and a route passing through one or more intermediate points is set between them.

JP 2003-236780 A Stabilization control of vehicle mounted manipulators-Stability norm and compensating motion by manipulators-Huang Qiang, Shigeki Sugano, Ichiro Kato Vol. 31, no. 7,861-870 pages July 1995 Biped walking robot that compensates for moment by upper body movement Ikuo Takanishi Robotics Society of Japan Vol. 11, no. 3,348-353 pages April 1993 Randomized Kinodynamic Planning: S. M.M. LaValle and J.M. J. et al. Kuffner, Jr. : Proc of IEEE Int. Conf. on Robotics and Automation, 1999

  None of the path generations in the above-mentioned literature has been sufficiently studied to compensate for the stable operation of the robot. For this reason, there is a possibility that the robot may fall over when a part (robot arm) or the whole of the robot is moved along the determined route. When the robot moves part or all of it, it is necessary to consider not only the balance against gravity but also the balance due to inertial force. If these are not fully considered, the robot will fall. Therefore, an object of the present invention is to provide a robot motion planning method capable of planning a stable motion from the initial posture to the final posture of the robot.

  The robot motion planning method according to claim 1 is a method of planning a motion connecting the initial posture and the final posture based on the initial posture and the final posture of the robot using a probability, and acts on each part of the robot by gravity. Based on the balancing conditions of multiple moments, the robot operates in the static fall determination process and static fall determination process that statically determine whether or not the robot will fall in a stopped state at a certain point during operation. When it is determined that the robot does not fall statically during the period, it is dynamically determined that the robot will not fall during the operation in consideration of the balance condition of multiple moments acting on the robot due to gravity and inertial force due to the motion. As described above, a speed / acceleration changing step for setting the speed and / or acceleration of each part of the robot is provided.

  According to a second aspect of the present invention, in the robot motion planning method according to the first aspect, when the dynamic overturn determination is performed in the speed / acceleration changing step, the robot is prevented from dynamically overturning based on the ZMP norm. The speed and / or acceleration of each part is set.

  According to a third aspect of the present invention, in the robot motion planning method according to the first or second aspect, a maximum speed and / or maximum acceleration that is an upper limit value allowable for each part of the robot is determined in advance. In the / acceleration changing step, the maximum speed and / or the maximum acceleration is reduced.

  The robot motion planning method according to claim 1, wherein the robot does not fall during operation in consideration of a balance condition of a plurality of moments acting on the robot due to gravity and inertial force due to motion. Hereinafter, the process of “dynamic determination (dynamic fall determination)” will be referred to as a dynamic fall determination process. That is, the dynamic overturn determination step is included in the speed / acceleration change step. According to the robot motion planning method of the first aspect, when it is determined that the robot does not fall down statically, the speed (acceleration) of each part of the robot is set so as not to fall down dynamically. By doing in this way, the path | route which does not fall dynamically can be determined, and a robot can be operated stably.

  In the speed / acceleration changing process, the vehicle may not fall over dynamically only with the speed, may not fall over dynamically only with the acceleration, or may be controlled by controlling both the speed and the acceleration. You may make it not fall down. In this way, it is possible to reliably avoid a case where the vehicle does not fall down statically but falls down dynamically. In addition, in the dynamic fall determination process, gravity and inertial force acting on the robot are considered, but it is not excluded to consider forces other than gravity and inertial force acting on the robot (for example, external force). Needless to say.

  According to the robot motion planning method of the second aspect, since the dynamic overturn determination is performed based on the ZMP norm, the overturn determination can be quickly and accurately determined. As a result, route determination can be performed quickly and reliably.

  According to the robot motion planning method of the third aspect, the inertia force is reduced by lowering the maximum speed and maximum acceleration set in advance for each part of the robot (for example, a joint part of the robot arm). Stabilize operation. By doing so, it becomes possible to stabilize the operation of the robot while keeping the path as it is, and it is possible to perform the operation plan quickly and reliably.

  An embodiment of the operation planning method of the present invention will be described below. The movement path of the robot is planned by the motion plan. First, FIG. 1 shows the configuration of an apparatus (stable operation planning means) that executes (calculates) the operation planning method of the present embodiment. Specifically, the stable operation planning means 1 is constituted by a computer. As shown in FIG. 1, the stable operation planning unit 1 outputs an external environment information input unit 2 that is a unit for inputting external environment information, and a route that is in the generation process and a route that is finally generated (set). Route output means 3.

  The external environment information input means 2 is a means for acquiring information around an automatic machine (such as a robot itself or a robot arm) that generates a movement route, particularly obstacle information as an external environment, and is an information acquisition device such as a camera or various sensors. Is given as an example. Alternatively, the external environment information input means 2 may be a keyboard, an optical disk drive, etc., and the operator may input the external environment information manually, or the external environment information already converted into data and stored on the optical disk May be entered. The route output means 3 is specifically a monitor, a printer, a drive for handling a storable medium, or the like.

  The external environment information input from the external environment information input unit 2 is accumulated in the environment information storage unit 4. Specifically, the environment information storage unit 4 is a hard disk, a RAM, or the like. The environment information storage means 4 holds environment information as knowledge (information already held as knowledge) and the environment information newly input by the external environment information input means 2 as described above. The environment information newly input by the external environment information input means 2 is then stored as environment information as knowledge. The stable motion planning unit 1 includes an initial / final posture input unit 5 for inputting an initial posture and a final posture of the robot, an intermediate posture generation unit 6 for setting an intermediate posture between the initial posture and the final posture, and a speed setting. Means 7, acceleration setting means 8, collision determination means 9, fall determination means 10 are also provided.

  The speed setting means 7 sets the speed of each part of the robot by setting the time required for the operation from one intermediate posture to the next intermediate posture. That is, here, not only a simple change in position from one intermediate posture to the next intermediate posture, but also the time required for the operation is considered. Similarly, the acceleration setting unit 8 sets the acceleration of each part of the robot by considering the above-described change in speed with time. For the speed and acceleration, angular velocity and angular acceleration may be used in the joint portion.

  The collision determination unit 9 determines whether or not the operation path being generated interferes with the obstacle based on the information regarding the obstacle stored in the environment information storage unit 4. If the motion path seems to interfere with the obstacle, the posture that interferes with the obstacle is corrected by the intermediate posture generation means 6. The fall determination means 10 statically and dynamically determines whether or not the robot falls when the robot is operated along an operation path that is generated so as not to interfere with an obstacle. If it is determined that the vehicle will fall down statically, the intermediate posture is corrected by the intermediate posture generation means 6 (the operation path is corrected).

  If the vehicle does not fall statically, an action (including not only the path but also the speed and acceleration) is set so as not to fall dynamically. At this time, first, only the route (not including speed and acceleration) is determined, and if it is determined that this route does not fall statically, the speed and acceleration may be set so that they do not fall over dynamically. It is done. When it is determined that the vehicle falls over statically, the route (intermediate posture) itself is corrected or regenerated by the intermediate posture generation means 6.

  Alternatively, when a motion (including not only a route but also speed and acceleration) is generated and it can be determined that this motion does not fall statically, the dynamic fall determination may be performed. In this case, when it is determined to fall by dynamic determination, the route (intermediate posture) may be changed by the intermediate posture generation means 6, or only the speed and acceleration may be corrected. Also in this case, when it is determined that the vehicle falls over statically, the route (intermediate posture) itself is corrected or regenerated.

  When correcting the speed and acceleration, the speed setting means 7 and the acceleration setting means 8 reduce the speed and acceleration (the operation path itself does not change) so as not to fall. If the fall cannot be prevented by controlling the speed and acceleration, the intermediate posture is corrected by the intermediate posture generation means 6 (the operation path is corrected). The intermediate posture generation means 6 to the fall determination means 10 are realized by a program stored in a hard disk or a ROM and a CPU that executes the program.

  Next, the procedure of the operation path planning will be described in order. FIG. 2 is a diagram schematically showing a robot 100 in which a humanoid upper body is mounted on a carriage 101. Four wheels 102 are attached to the carriage 101. The robot 100 can move by driving these wheels 102 with an internal motor. The upper body includes a body 103, left and right arms 104L and 104R, and a head 105. The head 105 incorporates the above-described camera as an external environment acquisition unit, imitating human eyes.

  The body 103 is provided with 1B to 4B joint joints. The joint joints 1B, 2B, and 4B are joints having a rotation axis that is parallel to the paper surface and extends to the left and right in the drawing. The joint joint 3B is a joint having a rotation axis that is parallel to the paper surface and extends vertically in the drawing. The joint joints 1B, 2B, and 4B are used to create a forward and rearward posture, and the joint joint 3B is used to create a posture that turns the upper body in the same manner as the waist is turned.

  Since the left and right arms 104L and 104R are symmetric, the right arm 104R will be described as an example. For convenience, the arm mentioned here includes the shoulder. The right arm 104R is provided with joints 5R to 11R. Moreover, although not shown in figure, in order to hold | grip a target object, the small joint joint equivalent to a finger joint is arrange | positioned at the hand part. The joint joint 5R is a joint having a rotation axis that is parallel to the paper surface and extends to the left and right in the drawing, and is used when raising the arm forward. The joint joint 6R is a joint having a rotation axis perpendicular to the paper surface, and is used when raising the arm to the side. The joint joints 7R and 9R are joints having a rotation axis that is parallel to the paper surface and extends vertically in the figure, and is used when the arm is twisted. The joint joints 8R and 11R are joints having a rotation axis that is parallel to the paper surface and extends to the left and right in the drawing, and is used when the hand is bent so as to be attached to the shoulder. The joint joint 10 </ b> R is a joint having a rotation axis perpendicular to the paper surface, and is used when the hand portion is moved.

  That is, the upper body of the robot 100 has 4 degrees of freedom (4 DOF: Degree Of Freedom) in the body, 7 degrees of freedom (7 DOF) in the arm portion, and 13 degrees of freedom (13 DOF) in the hand portion. . Moreover, the figure which looked at the trolley | bogie 101 from the bottom face side is shown in FIG. As shown in FIG. 3, the carriage 101 includes four wheels 102. By controlling the rotation direction and the rotation speed of the wheels 102, the movement 101 and the direction change on the spot can be performed. Further, FIG. 3 shows a hatched area (including a stable area α: on the side) surrounded by a polygon (support polygon) connecting the contact points of the wheel 102 and the floor surface. . This stable region will be further described at the time of fall determination described later.

Next, the operation plan of the robot 100 described above will be described. In the motion plan, the movement path of the entire robot 100 or a part of the robot 100 (arms 104R, 104L, etc.) and the movement speed and acceleration at that time are determined. The amount of information (here, joints 1B to 4B, 5R to 11R, 5L to ...) that can be parameters for changing the posture of the robot 100 by setting x, y, and z coordinate axes for the actual work space in which the robot 100 exists. Multi-dimensional coordinate axes (here, 18 dimensions) that can be set as the coordinates of each coordinate axis are set as _11L angles θ _{1B to} θ _4B , θ _{5R to} θ _11R , and θ _{5L to} θ _11L . That is, the posture of the robot 100 (which is described only with the robot arm here) can be indicated by one point on the multidimensional coordinate axis. In this way, the coordinates (x, y, z) of the wrist position X in the actual work space are the vectors (θ _1B ,..., Θ _4B , θ _5R ,..., Θ _11R , which are indicated on the multidimensional coordinate axes. θ _{5L, ...,} θ [coordinate position of the vector tip] value of _11L) can be obtained readily by coordinate transformation. Here, for convenience of explanation, the movement of the hand portion corresponding to a human finger and the movement of the carriage 101 are not considered.

  When planning the operation of the robot 100, first, external environment information is input by the external environment information input unit 2. If there is no shortage of information that has already been input and accumulated in the environment information storage means 4, it is not always necessary to input new external environment information. Next, the operator sets the initial posture and the final posture of the robot 100. If these postures are preset, no operator input is required. The input can be set by inputting a coordinate position from the keyboard. Alternatively, the robot 100 may be connected to the stable operation planning unit 1 so that the robot 100 actually takes the initial posture and the final posture and is read by the stable operation planning unit 1. The external environment information may be acquired automatically or semi-automatically by a camera or various sensors incorporated in the apparatus. The initial posture and the final posture are finally converted into coordinates in the above-described multidimensional coordinate space.

  The initial / final posture input means 5 determines whether or not the input initial posture and final posture collide with an obstacle (whether they interfere with each other) by comparing with the information stored in the environment information storage means 4. If there is no collision, these are determined as the initial posture and the final posture. At the time of collision determination, the posture expressed as one point coordinate on the multi-dimensional coordinate axis is reflected in the actual work space, and it is checked whether or not there is a collision against the information about the obstacle accumulated as external environment information. Determined. Such a collision determination can use an existing method.

  If the input initial posture and / or final posture collides with an obstacle, the operator is prompted to re-input, and the same determination is performed for the re-input initial posture and / or final posture. Iterate until the initial and final postures are determined. Next, an intermediate posture is provisionally set between the initial posture and the final posture by a known method (intermediate posture setting step). This temporary setting of the intermediate posture is performed by the intermediate posture generation means 6. As an intermediate posture setting method, for example, coordinates corresponding to the intermediate posture may be randomly generated on the above-described multidimensional coordinate axes.

  A plurality of intermediate postures including the order are set between the initial posture and the final posture. At this time, in the state where the intermediate posture is temporarily set, only the posture (spatial position) is temporarily set, and no temporal element such as the operation speed is set. Therefore, next, in order to determine the time factor, the time required between each intermediate posture is determined so as not to exceed the maximum speed (maximum angular speed) set for each joint (time setting step) ). This time setting is performed by the speed setting means 7. Specifically, a time-joint angle graph is generated for each joint, and when the joint angle corresponding to each intermediate posture is plotted as coordinates on this graph, the slope of the line segment connecting the coordinates in turn is used. The expressed angular velocity is set so as not to exceed the maximum angular velocity.

  If possible, the maximum angular velocity is set, but since this time setting is performed simultaneously for all joints, the time between intermediate postures for all joints, i.e. Angular velocity is set. The same applies to not only the speed (angular speed) but also the acceleration (angular acceleration), and the angular acceleration at each joint is set so as not to exceed a preset maximum angular acceleration. The time-angular acceleration graph can be easily obtained by first-order differentiation of the time-angular velocity graph. The time setting regarding the angular acceleration is performed by the acceleration setting means 8.

The determination of the time-related element described above will be described by taking a certain joint joint portion as an example. Regarding an angle of a joint joint, an angle in the initial posture is θ _s and an angle in the final posture is θ _g . At the time of intermediate positions generated as described above, angle theta ₁ of articulated joint in an intermediate position which is temporarily set with respect to the articulation _joints, theta _2, ..., and represents a theta _n. For example, before the time is set, it is assumed that the time required to move between θ _s and θ ₁ , θ _i and θ _{i + 1} , θ _n and θ _g is a fixed time t. FIG. 4 is a graph showing the temporal change of the joint angle.

  As can be seen from FIG. 4, the inclination of the broken line indicating the angle change in FIG. 4 represents the angular velocity. Here, since the angular velocity increases and decreases at a constant rate with respect to time, the angular acceleration is zero. However, when the robot 100 is actually driven, it is necessary to limit the angular velocity and the angular acceleration such as the above-mentioned maximum angular velocity and maximum angular acceleration due to the mechanical performance of the actuator (motor or the like) of the joint joint portion. . These conditions are input to the stable operation planning means 1 in advance, and time is set in consideration of these restrictions. That is, as shown in FIG. 4, if the time required for the movement between the intermediate postures is simply determined, a path design that cannot be realized due to the mechanical performance of the actuator or the like may be made, or the actuator drive There are cases where there are inconveniences.

Therefore, the maximum angular velocity ω _max is set in advance in consideration of the above-described restrictions regarding each joint joint. Then, assuming that the time interval from θ _i to θ _{i + 1} is (t _{i + 1} −t _i ) and the time defined by | (θ _{i + 1} −θ _i ) / ω _max | is set, the angular velocity is within the allowable range. Time can be set. FIG. 5 shows an example of the time change of the angle / angular velocity at the two joint portions. It should be noted that the time between the intermediate postures (for example, the length of Δt _{1 in} FIG. 5) needs to be matched in all joint joints. FIG. 5 shows a state in which the control timings in the intermediate postures of the joint A and the joint B are already matched.

Therefore, next, a method for obtaining the length of Δt ₁ , that is, a method of matching the control timings of the intermediate postures at a plurality of joint joint portions will be described. Assume that for the joint A, the angle changes from θ _1A to θ _2A before and after Δt ₁ , and for the joint B, the angle changes from θ _1B to θ _2B before and after Δt ₁ . At this time, as described above, _assuming that the maximum angular velocity ω _Amax is set for the joint A, Δt ₁ is | θ _2A −θ _1A | / ω so that the angular velocity at the joint A is within the allowable range. _It is necessary to set _Amax or more. Similarly, regarding the joint B, if the maximum angular velocity ω _Bmax is set, Δt ₁ needs to be _{equal to} or greater than | θ _2B −θ _1B | / ω _Bmax in order to keep the angular velocity at the joint B within the allowable range. There is. Therefore, Δt ₁ = max {| θ _2A −θ _1A | / ω _Amax , | θ _2B −θ _1B | / ω _Bmax } and select the longest time required for each joint as Δt _1. decide. Here, two joints are described as an example, but the same may be performed even when there are a plurality of joints. In addition, the timing is similarly matched for each time interval after Δt ₁ . This completes the time setting (which will be described later, but may be further corrected).

  After this, flattening is performed to simplify an operation (path) by omitting an omissible attitude among the set intermediate attitudes (flattening step: this will not be described in detail), and thereafter an operation (path) Is smoothed (smoothing step). The smoothing will be briefly described. The path at the time when the flattening is completed is such that the operation direction changes suddenly in each intermediate posture. Smoothing is a process in which the movement of the robot 100 is smoothed by correcting such a sudden change of direction so as to draw a smooth trajectory. Here, the smoothed path is approximated by a function that can be differentiated infinitely. For this reason, in addition to the smoothness of the route itself, the smoothness of the moving speed and acceleration on the route is also guaranteed. Further, whether or not the route after smoothing collides with an obstacle is verified, and if it collides, smoothing is performed again until it is avoided.

An example of the time-angle curve after smoothing for a joint after smoothing is shown in FIG. Further, a time-angular velocity curve corresponding to FIG. 6A is shown in FIG. 6B, and a time-angular acceleration curve is shown in FIG. 6C. Smoothing smoothes a node portion in a time-angle curve before smoothing, which is composed of straight lines. For this reason, if the angular velocity is equal to or less than the maximum acceleration before smoothing, the angular velocity is equal to or less than the maximum angular velocity even after smoothing. However, with respect to angular acceleration, it is not guaranteed that the maximum allowable angular acceleration will not be exceeded after smoothing. Therefore, similarly to the maximum allowable angular velocity ω _{max of the} angular velocity, the maximum angular acceleration a _max is set in advance for the angular acceleration, and the smoothed path is corrected so that the angular acceleration does not exceed the maximum angular acceleration a _max. (Time correction process). In this path correction process, the time scale is corrected locally, thereby keeping the angular acceleration within an allowable range.

Hereinafter, a certain joint will be described as an example, but the same is finally performed for all joints. In FIG. 6, the dotted line indicates the angle, angular velocity, and angular acceleration for the path after flattening and before smoothing, and the solid line indicates the angle, angular velocity, and angular acceleration for the path after smoothing (angular acceleration). Is always 0 in the path before smoothing, and is not shown). As can be seen from FIG. 6, the angular acceleration takes a maximum value and a minimum value at the time when the node is presented. Among the angular accelerations at all nodes, those exceeding the maximum angular acceleration a _max described above are extracted. For a node exceeding the maximum angular acceleration a _max , the partial time axis is locally extended to correct the angular acceleration within an allowable range.

  When the time axis is extended from an angular acceleration condition for a certain joint, the time axes for all the joints are extended even if the angular acceleration at other joints is within the allowable range at the same time. Thus, the control timing as a whole is made to coincide. Note that the collision with the obstacle may be determined after setting the acceleration at which the operation is fixed to some extent. In this way, once an operation is determined, a fall determination is performed for this operation. First, static fall determination is performed (static fall determination step). In the static fall determination, it is determined whether or not the robot 100 falls by considering only the influence of gravity. This can be determined by calculating by a known method based on the weight of each part and the position of the center of gravity of the robot 100. For example, if the upper body is tilted forward too much, the robot 100 falls forward. Whether or not such a situation occurs is determined in the entire process of the operation determined so far.

  When it is determined that the vehicle falls over statically, the intermediate posture is generated again. It should be noted that all routes may be redone, or only before and after the posture determined to fall. On the other hand, if it is determined that the vehicle will not fall statically, it is determined whether or not it will fall dynamically (dynamic fall determination step). This determination is performed in accordance with the ZMP norm described above. In order to obtain ZMP by calculation, first, the angular velocity / angular acceleration of the link between the joints and the translational acceleration of the center of gravity of the robot 100 are calculated by using the angle / angular velocity / angular acceleration of each joint as known values.

Next, the inertial force and moment of inertia of each link are calculated. Further, the calculated inertial force / moment of inertia and the position of the center of gravity are converted into an inertial coordinate system, and finally ZMP is calculated. Since the calculation method of ZMP is well-known, further detailed description here is abbreviate | omitted. If this ZMP is within the stable region α (including the upper side) in FIG. 3, it can be determined that the operation can be performed stably without falling. The above-described calculation requires data relating to each link of the robot, that is, shape data such as the link lengths L _{1 to} L ₁₂ in FIG. 2 and the weight of each link. Stored in the means. Further, the above-described angles, angular velocities, and angular accelerations necessary for the calculation are used.

If it is determined by the dynamic fall determination that the vehicle will not fall, the motion plan ends. However, when the vehicle falls by dynamic fall determination, the speed (angular velocity) and / or acceleration (angular acceleration) is adjusted so as not to fall and the operation is corrected so as not to fall (speed / acceleration changing step). There are several possible correction methods. For example, (1) The angular velocity exceeding the updated maximum angular velocity ω _max is obtained by gradually decreasing the maximum angular velocity ω _max at a constant rate while the maximum angular acceleration a _max described above is fixed. It is conceivable to correct the part and repeat the fall determination (static and dynamic). However, the minimum angular velocity ω _min is also set as the angular velocity, and when the maximum angular velocity ω _max is gradually decreased, even if the minimum angular velocity ω _min is reached, it is still determined that the vehicle will fall due to the dynamic overturn determination. The motion plan shall be redone from the beginning.

Alternatively, (2) the maximum angular acceleration ω _max is fixed, the maximum angular acceleration a _max is gradually decreased at a constant rate, the angular acceleration portion exceeding the updated maximum angular acceleration a _max is corrected, and the fall determination ( It is conceivable to repeat (static and dynamic). However, the minimum angular acceleration a _min is also set as the angular acceleration, and when the maximum angular acceleration a _max is gradually decreased, it is determined that the vehicle will still fall due to the dynamic fall determination even if the minimum angular acceleration a _min is reached. In the case of failure, the operation plan shall be redone from the beginning.

Alternatively, (3) The above-described maximum angular velocity ω _max and maximum angular acceleration a _max are gradually decreased at a constant rate at the same time, and the portion exceeding the updated maximum angular velocity ω _max and maximum angular acceleration a _max is corrected, and a fall determination is made. It is conceivable to repeat (static and dynamic). However, also in this case, the minimum angular velocity ω _min is set for the angular velocity and the minimum angular acceleration a _min is set for the angular acceleration, and the maximum angular velocity ω _max and the maximum angular acceleration a _max are gradually reduced. Even if it reaches the minimum angular velocity ω _min or the minimum angular acceleration a _min , if it is determined that the vehicle still falls due to the dynamic tipping determination, the motion plan is restarted from the beginning.

  In addition, this invention is not limited to embodiment mentioned above. For example, in the above-described embodiment, the joint of the bent portion has been described as an example, and thus the motion plan has been described with the angle, the angular velocity, and the angular acceleration. However, what determines the posture of the robot 100 includes, for example, the extension amount of the extendable part. In such a case, the motion plan is performed using the extension amount, the extension speed, and the extension acceleration. In the above-described embodiment, the case where the carriage 101 is not moved has been described as an example. However, the present invention can be applied to a case where the carriage 101 is moved. Moreover, although embodiment mentioned above demonstrated the cart mobile robot 100 as an example, it is possible to apply this invention also to a legged mobile robot. It is also possible to divide one large operation into several, plan the operation for each, and treat both as a series of operations. In other words, the final posture of the first divided plan matches the initial posture of the next divided plan.

It is a block diagram of the apparatus which implements one Embodiment of the operation | movement planning method of the robot of this invention. It is a figure which shows typically the cart type robot controlled by one Embodiment of the operation | movement planning method of the robot of this invention. It is the figure which looked at the robot of Drawing 2 from the bottom. It is a graph of time-joint angle when time between each intermediate posture is made constant. It is a graph of time-joint angle after time setting, (a) is a graph about joint A, (b) is a graph about other joint B. It is a graph which shows the relationship of (a) time-angle, (b) time-angular velocity, and (c) time-angular acceleration.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Stable operation | movement plan means, 2 ... External environment information input means, 3 ... Path | route output means, 4 ... Environment information storage means, 5 ... Initial / final attitude | position input means, 6 ... Intermediate attitude | position production | generation means, 7 ... Speed setting means, DESCRIPTION OF SYMBOLS 8 ... Acceleration setting means, 9 ... Collision determination means, 10 ... Falling determination means, 100 ... Robot, 101 ... Dolly, 102 ... Wheel, 103 ... Torso, 104R ... Right arm, 104L ... Left arm, 105 ... Head

Claims (3)

In the robot motion planning method for planning the motion connecting the initial posture and the final posture using the probability based on the initial posture and the final posture of the robot,
A static overturn determination step for statically determining whether or not the robot overturns in a stopped state at a certain time during the operation based on a balance condition of a plurality of moments acting on each part of the robot by gravity; and
In the static fall determination step, when it is determined that the robot does not fall statically during the movement, considering a balance condition of a plurality of moments acting on the robot due to gravity and inertial force due to movement A speed / acceleration changing step for setting a speed and / or acceleration of a part of the robot so as to dynamically determine that the robot does not fall during the operation. Action planning method.   The speed and / or acceleration of each part of the robot is set so that the robot does not dynamically fall over based on the ZMP norm at the time of dynamic overturn determination in the speed / acceleration changing step. The robot motion planning method described.   A maximum speed and / or maximum acceleration which is an upper limit value allowable for each part of the robot is determined in advance, and the maximum speed and / or the maximum acceleration is decreased in the speed / acceleration changing step. The robot motion planning method according to claim 1 or 2.

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