WO2021100890A1 - System for controlling driving to recognize and avoid obstacle, and method thereof - Google Patents

System for controlling driving to recognize and avoid obstacle, and method thereof Download PDF

Info

Publication number
WO2021100890A1
WO2021100890A1 PCT/KR2019/015788 KR2019015788W WO2021100890A1 WO 2021100890 A1 WO2021100890 A1 WO 2021100890A1 KR 2019015788 W KR2019015788 W KR 2019015788W WO 2021100890 A1 WO2021100890 A1 WO 2021100890A1
Authority
WO
WIPO (PCT)
Prior art keywords
patient
unit
control system
obstacle recognition
obstacle
Prior art date
Application number
PCT/KR2019/015788
Other languages
French (fr)
Korean (ko)
Inventor
최귀철
장영진
Original Assignee
(주)한스이엔지
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by (주)한스이엔지 filed Critical (주)한스이엔지
Priority to PCT/KR2019/015788 priority Critical patent/WO2021100890A1/en
Publication of WO2021100890A1 publication Critical patent/WO2021100890A1/en

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J11/00Manipulators not otherwise provided for
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls

Definitions

  • the present invention relates to an obstacle recognition and avoidance driving control system, and more particularly, to a system that recognizes and avoids an obstacle in an autonomous driving process and controls the driving.
  • the present invention is an obstacle recognition and avoidance driving control system that effectively solves an obstacle collision problem that may occur in the autonomous driving process of the robot by recognizing the existence of an obstacle through a camera during autonomous driving of the robot and calculating an obstacle avoidance path to avoid driving. Provides.
  • the present invention provides an obstacle recognition and avoidance driving control system through which the autonomous driving robot can periodically monitor the patient's state by grasping the patient's state through the patient's gait.
  • the present invention provides an obstacle recognition and avoidance driving control system that can help the patient's mental treatment by becoming a patient-tailored conversation partner using the patient's prior information.
  • An obstacle recognition and avoidance driving control system includes a direction change control unit for controlling an operation of an omni wheel to change direction, a display unit for outputting a guide message, an image capturing unit for photographing a surrounding environment, and And a travel route calculation unit that calculates a travel route.
  • the obstacle recognition and avoidance driving control system may further include a hospital room monitoring unit for diagnosing and monitoring the movement of a ward environment and a surgical patient from the surrounding environment data captured through the image capturing unit.
  • the obstacle recognition and avoidance driving control system may further include a gait analysis unit that analyzes the patient’s gait and analyzes the patient’s health status.
  • the obstacle recognition and avoidance driving control system may further include a Malbot control unit for controlling to proceed with a query response based on the patient's prior information by approaching within a preset distance of the patient.
  • the obstacle collision problem that may occur in the autonomous driving process of the robot can be effectively solved by recognizing whether an obstacle exists through a camera through a camera and calculating an obstacle avoidance path to avoid driving. .
  • the autonomous driving robot can periodically monitor the patient's state by grasping the patient's state through the patient's gait.
  • the present invention can help the patient's mental treatment by becoming a personalized conversation partner using the patient's prior information.
  • FIG. 1 is a diagram showing the configuration of an obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
  • FIG. 2 is a view for explaining a process in which patient-customized care is performed through the obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
  • FIG. 1 is a diagram showing the configuration of an obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
  • the obstacle recognition and avoidance driving control system 100 includes a direction change control unit 110, a display unit 120, an image capturing unit 130, and a driving route calculation unit 140.
  • the direction change control unit 110 may change the direction by controlling the operation of an omni wheel.
  • the omni wheel is composed of three barrels that are free to rotate in the axial direction of the wheel on the outer circumference of the wheel frame, and can be configured to move in all directions by arranging a plurality of barrels on the movable column in the body of a mobile robot. have.
  • three omniwheels can be used for a mobile robot, and three omniwheels are installed at 120° intervals based on the center of the mobile robot, and the direction and speed of the three omniwheels are controlled by the direction change control unit 110. By being controlled, the traveling direction of the mobile robot can be determined.
  • the display 120 may output a guide message. That is, the robot equipped with the obstacle recognition and avoidance driving control system 100 can move to display and provide information to patients, hospital personnel, etc., or perform instructions, commands, etc., so that patients and hospital personnel can use the mobile robot. You can easily receive information.
  • the image capturing unit 130 may photograph the surrounding environment. That is, it is possible to photograph the surroundings of the mobile robot through a 3D camera, etc., and by analyzing image data received from the photographed image, it is possible to recognize the surrounding situation and generate basic data for driving route control.
  • the driving route calculation unit 140 may calculate a driving route. By receiving the data captured and analyzed through the imaging unit 130, calculates a driving path for moving to a specific patient, a specific object, or a specific place, and when an obstacle is recognized on the driving path, it is optimal to avoid the obstacle.
  • the driving route of can be calculated in real time.
  • the obstacle recognition and avoidance driving control system 100 may further include a gait analysis unit 150, a malbot control unit 160, and a hospital room monitoring unit 170 to monitor and control the patient's condition and the environment of the ward. .
  • the gait analysis unit 150 may analyze the patient’s gait to analyze the patient’s health status.
  • the rehabilitation speed and state may be determined by comparing with the walking image taken immediately before.
  • the Malbot control unit 160 may control to access within a preset distance of the patient and proceed with a query response based on the patient's prior information.
  • the robot can be controlled to continue inquiries and responses to the patient's prior information and interests based on the patient's preliminary information, helping the patient's mental treatment. Can give
  • Mr. Hong Gil-dong who is in the basic stage of depression, is currently located in a hospital room on the 6th floor of the hospital, the robot moves by receiving data from the location sensor worn by Mr. Hong Gil-dong through a wearable device and using the location of Mr. Hong as a destination. And, if you approach a location within a preset radius with Mr. Hong Gil-dong, you can continue inquiries and responses to become a friend to Mr. Hong.
  • the ward monitoring unit 170 may diagnose and monitor the ward environment and the movement of a patient for surgery from the surrounding environment data photographed through the image capturing unit. That is, it is possible to analyze changes in the ward environment and whether or not the patient moves through the image data photographed through the image capturing unit, and the conditions such as temperature and humidity of the ward can be monitored through various sensors provided in the robot.
  • the obstacle recognition and avoidance driving control system 100 may perform other various functions, which will be described in more detail below with reference to FIG. 2.
  • FIG. 2 is a view for explaining a process in which patient-customized care is performed through the obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
  • the patient's motion measurement the patient's motion measurement, fluid level measurement, urine measurement, pulse wave measurement, sleep time measurement, blood glucose measurement, fire detection, body temperature measurement, temperature and humidity measurement, fine dust measurement, stress measurement, etc. You can receive and monitor various types of information.
  • the obstacle collision problem that may occur in the autonomous driving process of the robot is solved by recognizing whether there is an obstacle through the camera and calculating the obstacle avoidance path through the camera during autonomous driving of the robot. It can be solved effectively.
  • the autonomous driving robot can periodically monitor the patient's state by grasping the patient's state through the patient's gait.
  • the present invention can help the patient's mental treatment by becoming a personalized conversation partner using the patient's prior information.
  • the obstacle recognition and avoidance driving control method may be recorded in a computer-readable medium including program instructions for performing various computer-implemented operations.
  • the computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination.
  • the medium may be a program instruction specially designed and configured for the present invention, or may be known and usable to a person skilled in computer software.
  • Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks.
  • -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like.
  • Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

Abstract

Disclosed are a system for controlling driving to recognize and avoid an obstacle, and a method thereof. The system for controlling driving to recognize and avoid an obstacle comprises: a direction switch control unit for switching directions by controlling the operation of omni-wheels; a display unit for outputting a guidance message; an image capturing unit for capturing a surrounding environment; and a driving path calculation unit for calculating a driving path.

Description

장애물 인지 및 회피 주행 제어 시스템 및 그 방법Obstacle recognition and avoidance driving control system and method thereof
본 발명은 장애물 인지 및 회피 주행 제어 시스템에 관한 것으로 특히, 자율 주행 과정에서 장애물을 인지하고 회피하여 주행할 수 있도록 제어하는 시스템에 관한 것이다.The present invention relates to an obstacle recognition and avoidance driving control system, and more particularly, to a system that recognizes and avoids an obstacle in an autonomous driving process and controls the driving.
일반적으로 로봇이 정해진 경로를 따라 자율주행하기 위해서는 로봇을 구성하는 다양한 관절의 움직임과 관련된 기술, 장애물을 인식하는 기술, 인식된 장애물을 회피하는 기술 등이 유기적으로 결합되어 로봇의 움직임을 제어하게 된다.In general, in order for a robot to run autonomously along a predetermined path, technology related to the movement of various joints constituting the robot, technology to recognize obstacles, technology to avoid recognized obstacles, etc. are organically combined to control the movement of the robot. .
종래에도 한국등록실용신안 제200481135호 등과 같이 유아 전동차 등이 장애물을 회피하여 주행하는 기술이 공개되어 있었으나 장애물의 인식률이 떨어져 효과적으로 회피하기 어려운 문제점이 있었다.Conventionally, a technology for driving by avoiding obstacles such as an infant electric vehicle such as Korean Utility Model No. 200481135 has been disclosed, but there is a problem that it is difficult to effectively avoid obstacles due to a low recognition rate.
따라서, 로봇이 움직이는 과정에서 장애물의 존재를 보다 효과적으로 인식하고 인식된 장애물을 성공적으로 회피하기 위한 시스템에 관한 연구가 요구된다.Therefore, there is a need for research on a system for more effectively recognizing the existence of obstacles and successfully avoiding the recognized obstacles in the process of moving the robot.
본 발명은 로봇의 자율주행 중 카메라를 통해 장애물 존재 여부를 인식하고 장애물 회피 경로를 산출하여 회피 주행함으로써, 로봇의 자율주행 과정에서 발생할 수 있는 장애물 충돌 문제를 효과적으로 해결하는 장애물 인지 및 회피 주행 제어 시스템을 제공한다.The present invention is an obstacle recognition and avoidance driving control system that effectively solves an obstacle collision problem that may occur in the autonomous driving process of the robot by recognizing the existence of an obstacle through a camera during autonomous driving of the robot and calculating an obstacle avoidance path to avoid driving. Provides.
또한, 본 발명은 환자의 걸음걸이를 통해 환자의 상태를 파악함으로써, 자율주행로봇이 환자의 상태를 주기적으로 모니터링할 수 있는 장애물 인지 및 회피 주행 제어 시스템을 제공한다.In addition, the present invention provides an obstacle recognition and avoidance driving control system through which the autonomous driving robot can periodically monitor the patient's state by grasping the patient's state through the patient's gait.
또한, 본 발명은 환자의 사전정보를 이용하여 환자 맞춤형 대화 상대가 됨으로써, 환자의 정신적 치료에 도움을 줄 수 있는 장애물 인지 및 회피 주행 제어 시스템을 제공한다.In addition, the present invention provides an obstacle recognition and avoidance driving control system that can help the patient's mental treatment by becoming a patient-tailored conversation partner using the patient's prior information.
본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템은, 옴니 휠의 동작을 제어하여 방향을 전환하는 방향전환제어부, 안내 메시지를 출력하는 디스플레이부, 주변 환경을 촬영하는 영상촬영부, 및주행 경로를 산출하는 주행경로산출부를 포함한다.An obstacle recognition and avoidance driving control system according to an embodiment of the present invention includes a direction change control unit for controlling an operation of an omni wheel to change direction, a display unit for outputting a guide message, an image capturing unit for photographing a surrounding environment, and And a travel route calculation unit that calculates a travel route.
본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템은, 상기 영상촬영부를 통해 촬영한 주변환경 데이터로부터 병실환경, 수술환자의 움직임을 진단하고 모니터링하는 병실 모니터링부를 더 포함할 수 있다.The obstacle recognition and avoidance driving control system according to an embodiment of the present invention may further include a hospital room monitoring unit for diagnosing and monitoring the movement of a ward environment and a surgical patient from the surrounding environment data captured through the image capturing unit.
본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템은, 환자의 보행을 분석하여 환자의 건강상태를 분석하는 보행분석부를 더 포함할 수 있다.The obstacle recognition and avoidance driving control system according to an embodiment of the present invention may further include a gait analysis unit that analyzes the patient’s gait and analyzes the patient’s health status.
본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템은, 기설정된 환자의 설정거리 내에 접근하여 상기 환자의 사전 정보에 기반한 질의 응답을 진행하도록 제어하는 말벗제어부를 더 포함할 수 있다.The obstacle recognition and avoidance driving control system according to an embodiment of the present invention may further include a Malbot control unit for controlling to proceed with a query response based on the patient's prior information by approaching within a preset distance of the patient.
본 발명의 일실시예에 따르면, 로봇의 자율주행 중 카메라를 통해 장애물 존재 여부를 인식하고 장애물 회피 경로를 산출하여 회피 주행함으로써, 로봇의 자율주행 과정에서 발생할 수 있는 장애물 충돌 문제를 효과적으로 해결할 수 있다.According to an embodiment of the present invention, the obstacle collision problem that may occur in the autonomous driving process of the robot can be effectively solved by recognizing whether an obstacle exists through a camera through a camera and calculating an obstacle avoidance path to avoid driving. .
또한, 본 발명은 환자의 걸음걸이를 통해 환자의 상태를 파악함으로써, 자율주행로봇이 환자의 상태를 주기적으로 모니터링할 수 있다.In addition, according to the present invention, the autonomous driving robot can periodically monitor the patient's state by grasping the patient's state through the patient's gait.
또한, 본 발명은 환자의 사전정보를 이용하여 환자 맞춤형 대화 상대가 됨으로써, 환자의 정신적 치료에 도움을 줄 수 있다.In addition, the present invention can help the patient's mental treatment by becoming a personalized conversation partner using the patient's prior information.
도 1은 본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템의 구성을 도시한 도면이다.1 is a diagram showing the configuration of an obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
도 2는 본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템을 통해 환자 맞춤형 케어가 진행되는 과정을 설명하기 위한 도면이다.2 is a view for explaining a process in which patient-customized care is performed through the obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
이하, 첨부된 도면들에 기재된 내용들을 참조하여 본 발명의 실시예들을 상세하게 설명한다. 다만, 본 발명이 실시예들에 의해 제한되거나 한정되는 것은 아니다. 각 도면에 제시된 동일한 참조부호는 동일한 부재를 나타낸다.Hereinafter, embodiments of the present invention will be described in detail with reference to the contents described in the accompanying drawings. However, the present invention is not limited or limited by the embodiments. The same reference numerals shown in each drawing indicate the same members.
도 1은 본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템의 구성을 도시한 도면이다.1 is a diagram showing the configuration of an obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
도 1을 참고하면, 장애물 인지 및 회피 주행 제어 시스템(100)은 방향전환제어부(110), 디스플레이부(120), 영상촬영부(130), 주행경로산출부(140)를 포함한다.Referring to FIG. 1, the obstacle recognition and avoidance driving control system 100 includes a direction change control unit 110, a display unit 120, an image capturing unit 130, and a driving route calculation unit 140.
방향전환제어부(110)는 옴니 휠(omni wheel)의 동작을 제어하여 방향을 전환할 수 있다.The direction change control unit 110 may change the direction by controlling the operation of an omni wheel.
이때, 옴니휠은 휠 프레임의 외주에 휠의 축방향에 회전 자유로운 배럴을 3개 배치한 것으로, 이동로봇 등의 본체에 동원주상에 다수개 배치하여, 모든 방향으로의 이동이 가능하도록 구성될 수 있다. At this time, the omni wheel is composed of three barrels that are free to rotate in the axial direction of the wheel on the outer circumference of the wheel frame, and can be configured to move in all directions by arranging a plurality of barrels on the movable column in the body of a mobile robot. have.
일례로 이동로봇에는 3개의 옴니휠을 사용할 수 있는데, 3개의 옴니휠이 이동로봇의 중심을 기준으로 120°간격으로 설치되고, 방향전환제어부(110)에 의해 3개의 옴니휠의 방향 및 속도가 제어됨으로써, 이동로봇의 진행방향이 결정될 수 있다For example, three omniwheels can be used for a mobile robot, and three omniwheels are installed at 120° intervals based on the center of the mobile robot, and the direction and speed of the three omniwheels are controlled by the direction change control unit 110. By being controlled, the traveling direction of the mobile robot can be determined.
디스플레이부(120)는 안내 메시지를 출력할 수 있다. 즉, 장애물 인지 및 회피 주행 제어 시스템(100)이 장착된 로봇이 이동하여 환자, 병원 관계자 등에게 정보를 표시하여 제공하거나 지시, 명령 등을 수행할 수 있어, 환자, 병원 관계자가 이동로봇을 통해 손쉽게 정보를 전달받을 수 있다.The display 120 may output a guide message. That is, the robot equipped with the obstacle recognition and avoidance driving control system 100 can move to display and provide information to patients, hospital personnel, etc., or perform instructions, commands, etc., so that patients and hospital personnel can use the mobile robot. You can easily receive information.
영상촬영부(130)는 주변 환경을 촬영할 수 있다. 즉, 3d 카메라 등을 통해 이동로봇의 주변을 촬영할 수 있으며, 촬영된 영상으로부터 수신한 영상데이터를 분석하여 주변 상황을 인지하고 주행경로제어를 위한 기초 데이터를 생성할 수 있다.The image capturing unit 130 may photograph the surrounding environment. That is, it is possible to photograph the surroundings of the mobile robot through a 3D camera, etc., and by analyzing image data received from the photographed image, it is possible to recognize the surrounding situation and generate basic data for driving route control.
주행경로산출부(140)는 주행 경로를 산출할 수 있다. 상기 영상촬영부(130)를 통해 촬영 및 분석한 데이터를 수신하여 특정 환자, 특정 사물, 특정 장소로 이동하기 위한 주행경로를 산출하고, 주행 경로상에 장애물이 인식되는 경우에는 장애물을 회피하는 최적의 주행경로를 실시간으로 산출할 수 있다.The driving route calculation unit 140 may calculate a driving route. By receiving the data captured and analyzed through the imaging unit 130, calculates a driving path for moving to a specific patient, a specific object, or a specific place, and when an obstacle is recognized on the driving path, it is optimal to avoid the obstacle. The driving route of can be calculated in real time.
장애물 인지 및 회피 주행 제어 시스템(100)은 환자의 상태, 병실의 환경 등을 모니터링하고 제어하기 위해 보행분석부(150), 말벗제어부(160), 병실 모니터링부(170)를 더 포함할 수 있다.The obstacle recognition and avoidance driving control system 100 may further include a gait analysis unit 150, a malbot control unit 160, and a hospital room monitoring unit 170 to monitor and control the patient's condition and the environment of the ward. .
보행분석부(150)는 환자의 보행을 분석하여 환자의 건강상태를 분석할 수 있다.The gait analysis unit 150 may analyze the patient’s gait to analyze the patient’s health status.
일례로, 환자가 왼쪽 다리를 절면서 걷고 있는 경우에는 왼쪽 다리의 회복 경과가 진행단계에 있음을 판단할 수 있고, 직전에 촬영한 보행 영상과 비교하여 재활속도와 상태 등을 판단할 수 있다.For example, when the patient is walking while striking the left leg, it may be determined that the progress of the recovery of the left leg is in progress, and the rehabilitation speed and state may be determined by comparing with the walking image taken immediately before.
말벗제어부(160)는 기설정된 환자의 설정거리 내에 접근하여 상기 환자의 사전 정보에 기반한 질의 응답을 진행하도록 제어할 수 있다. 환자는 물리적 치료 뿐만 아니라 정신적 스트레스와 외로움 등이 치료 성과에 큰 영향을 미치므로, 환자의 사전정보 및 이에 기초한 관심사에 대한 질의와 응답 등을 이어가도록 로봇을 제어할 수 있어 환자의 정신적 치료에 도움을 줄 수 있다.The Malbot control unit 160 may control to access within a preset distance of the patient and proceed with a query response based on the patient's prior information. As the patient's mental stress and loneliness, as well as physical therapy, have a great influence on the treatment outcome, the robot can be controlled to continue inquiries and responses to the patient's prior information and interests based on the patient's preliminary information, helping the patient's mental treatment. Can give
일례로, 최근 우울증 기초 단계에 있는 홍길동 씨가 현재 병원 내의 6층 병실에 위치하는 경우, 홍길동씨가 웨어러블 디바이스를 통해 착용한 위치 센서로부터 데이터를 수신하여 홍길동씨의 위치를 목적지로하여 로봇이 이동하고, 홍길동씨와 기설정된 반경 내의 위치에 접근하면 홍길동씨에게 말벗이 되도록 질의와 응답을 이어나갈 수 있다.For example, if Mr. Hong Gil-dong, who is in the basic stage of depression, is currently located in a hospital room on the 6th floor of the hospital, the robot moves by receiving data from the location sensor worn by Mr. Hong Gil-dong through a wearable device and using the location of Mr. Hong as a destination. And, if you approach a location within a preset radius with Mr. Hong Gil-dong, you can continue inquiries and responses to become a friend to Mr. Hong.
병실 모니터링부(170)는 상기 영상촬영부를 통해 촬영한 주변환경 데이터로부터 병실환경, 수술환자의 움직임을 진단하고 모니터링할 수 있다. 즉, 영상촬영부를 통해 촬영한 영상 데이터를 통해 병실환경의 변화 수술환자의 움직임 여부 등을 분석할 수 있으며, 로봇에 마련된 다양한 센서를 통해 병실의 온도, 습도 등 상태를 모니터링할 수 있다.The ward monitoring unit 170 may diagnose and monitor the ward environment and the movement of a patient for surgery from the surrounding environment data photographed through the image capturing unit. That is, it is possible to analyze changes in the ward environment and whether or not the patient moves through the image data photographed through the image capturing unit, and the conditions such as temperature and humidity of the ward can be monitored through various sensors provided in the robot.
한편, 장애물 인지 및 회피 주행 제어 시스템(100)은 그 밖에도 다양한 기능을 수행할 수 있는데, 이는 도 2를 참고하여 이하에서 보다 상세하게 설명한다.Meanwhile, the obstacle recognition and avoidance driving control system 100 may perform other various functions, which will be described in more detail below with reference to FIG. 2.
도 2는 본 발명의 일실시예에 따른 장애물 인지 및 회피 주행 제어 시스템을 통해 환자 맞춤형 케어가 진행되는 과정을 설명하기 위한 도면이다.2 is a view for explaining a process in which patient-customized care is performed through the obstacle recognition and avoidance driving control system according to an embodiment of the present invention.
도 2를 참고하면 환자의 모션측정, 수액의 잔량측정, 소변측정, 맥파측정, 수면시간측정, 혈당측정, 화재감지, 체온측정, 온습도 측정, 미세먼지 측정, 스트레스 측정 등 다양한 센서를 구비하여 환자의 정보를 다양하게 수신하고 모니터링할 수 있다.Referring to Figure 2, the patient's motion measurement, fluid level measurement, urine measurement, pulse wave measurement, sleep time measurement, blood glucose measurement, fire detection, body temperature measurement, temperature and humidity measurement, fine dust measurement, stress measurement, etc. You can receive and monitor various types of information.
상기와 같이, 본 발명의 일실시예에 따르면, 로봇의 자율주행 중 카메라를 통해 장애물 존재 여부를 인식하고 장애물 회피 경로를 산출하여 회피 주행함으로써, 로봇의 자율주행 과정에서 발생할 수 있는 장애물 충돌 문제를 효과적으로 해결할 수 있다.As described above, according to an embodiment of the present invention, the obstacle collision problem that may occur in the autonomous driving process of the robot is solved by recognizing whether there is an obstacle through the camera and calculating the obstacle avoidance path through the camera during autonomous driving of the robot. It can be solved effectively.
또한, 본 발명은 환자의 걸음걸이를 통해 환자의 상태를 파악함으로써, 자율주행로봇이 환자의 상태를 주기적으로 모니터링할 수 있다.In addition, according to the present invention, the autonomous driving robot can periodically monitor the patient's state by grasping the patient's state through the patient's gait.
또한, 본 발명은 환자의 사전정보를 이용하여 환자 맞춤형 대화 상대가 됨으로써, 환자의 정신적 치료에 도움을 줄 수 있다.In addition, the present invention can help the patient's mental treatment by becoming a personalized conversation partner using the patient's prior information.
또한 본 발명의 일실시예에 따른, 장애물 인지 및 회피 주행 제어 방법은 다양한 컴퓨터로 구현되는 동작을 수행하기 위한 프로그램 명령을 포함하는 컴퓨터 판독 가능 매체에 기록될 수 있다. 상기 컴퓨터 판독 가능 매체는 프로그램 명령, 데이터 파일, 데이터 구조 등을 단독으로 또는 조합하여 포함할 수 있다. 상기 매체는 프로그램 명령은 본 발명을 위하여 특별히 설계되고 구성된 것들이거나 컴퓨터 소프트웨어 당업자에게 공지되어 사용 가능한 것일 수도 있다. 컴퓨터 판독 가능 기록 매체의 예에는 하드 디스크, 플로피 디스크 및 자기 테이프와 같은 자기 매체(magnetic media), CD-ROM, DVD와 같은 광기록 매체(optical media), 플롭티컬 디스크(floptical disk)와 같은 자기-광 매체(magneto-optical media), 및 롬(ROM), 램(RAM), 플래시 메모리 등과 같은 프로그램 명령을 저장하고 수행하도록 특별히 구성된 하드웨어 장치가 포함된다. 프로그램 명령의 예에는 컴파일러에 의해 만들어지는 것과 같은 기계어 코드뿐만 아니라 인터프리터 등을 사용해서 컴퓨터에 의해서 실행될 수 있는 고급 언어 코드를 포함한다.In addition, the obstacle recognition and avoidance driving control method according to an embodiment of the present invention may be recorded in a computer-readable medium including program instructions for performing various computer-implemented operations. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The medium may be a program instruction specially designed and configured for the present invention, or may be known and usable to a person skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.
이상과 같이 본 발명의 일실시예는 비록 한정된 실시예와 도면에 의해 설명되었으나, 본 발명의 일실시예는 상기 설명된 실시예에 한정되는 것은 아니며, 이는 본 발명이 속하는 분야에서 통상의 지식을 가진 자라면 이러한 기재로부터 다양한 수정 및 변형이 가능하다.  따라서, 본 발명의 일실시예는 아래에 기재된 특허청구범위에 의해서만 파악되어야 하고, 이의 균등 또는 등가적 변형 모두는 본 발명 사상의 범주에 속한다고 할 것이다.As described above, although an embodiment of the present invention has been described by a limited embodiment and the drawings, an embodiment of the present invention is not limited to the above-described embodiment, which is a common knowledge in the field to which the present invention pertains. Anyone who has it can make various modifications and variations from these substrates. Accordingly, one embodiment of the present invention should be grasped only by the claims described below, and all equivalent or equivalent modifications thereof will be said to belong to the scope of the inventive concept.
100 : 장애물 인지 및 회피 주행 제어 시스템100: obstacle recognition and avoidance driving control system
110 : 영상촬영부110: image recording unit
120 : 주행경로산출부120: driving route calculation unit
130 : 방향전환제어부130: direction change control unit
140 : 디스플레이부140: display unit
150 : 보행분석부150: gait analysis unit
160 : 말벗제어부160: Malbot control unit
170 : 병실 모니터링부170: hospital room monitoring unit

Claims (4)

  1. 옴니 휠의 동작을 제어하여 방향을 전환하는 방향전환제어부;A direction change control unit for changing a direction by controlling the operation of the omni wheel;
    안내 메시지를 출력하는 디스플레이부;A display unit for outputting a guide message;
    주변 환경을 촬영하는 영상촬영부; 및An image photographing unit for photographing the surrounding environment; And
    주행 경로를 산출하는 주행경로산출부Driving route calculation unit that calculates the driving route
    를 포함하는 장애물 인지 및 회피 주행 제어 시스템.Obstacle recognition and avoidance driving control system comprising a.
  2. 제1항에 있어서,The method of claim 1,
    상기 영상촬영부를 통해 촬영한 주변환경 데이터로부터 병실환경, 수술환자의 움직임을 진단하고 모니터링하는 병실 모니터링부A hospital room monitoring unit that diagnoses and monitors the ward environment and the movement of the surgical patient from the surrounding environment data photographed through the imaging unit.
    를 더 포함하는 장애물 인지 및 회피 주행 제어 시스템.Obstacle recognition and avoidance driving control system comprising a further.
  3. 제1항에 있어서,The method of claim 1,
    환자의 보행을 분석하여 환자의 건강상태를 분석하는 보행분석부Gait analysis unit that analyzes the patient's gait and analyzes the patient's health status
    를 더 포함하는 장애물 인지 및 회피 주행 제어 시스템.Obstacle recognition and avoidance driving control system comprising a further.
  4. 제1항에 있어서,The method of claim 1,
    기설정된 환자의 설정거리 내에 접근하여 상기 환자의 사전 정보에 기반한 질의 응답을 진행하도록 제어하는 말벗제어부Malbot control unit that controls to access within a preset distance of the patient and proceed with a query response based on the patient's prior information
    를 더 포함하는 장애물 인지 및 회피 주행 제어 시스템.Obstacle recognition and avoidance driving control system comprising a further.
PCT/KR2019/015788 2019-11-18 2019-11-18 System for controlling driving to recognize and avoid obstacle, and method thereof WO2021100890A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/KR2019/015788 WO2021100890A1 (en) 2019-11-18 2019-11-18 System for controlling driving to recognize and avoid obstacle, and method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/KR2019/015788 WO2021100890A1 (en) 2019-11-18 2019-11-18 System for controlling driving to recognize and avoid obstacle, and method thereof

Publications (1)

Publication Number Publication Date
WO2021100890A1 true WO2021100890A1 (en) 2021-05-27

Family

ID=75981653

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2019/015788 WO2021100890A1 (en) 2019-11-18 2019-11-18 System for controlling driving to recognize and avoid obstacle, and method thereof

Country Status (1)

Country Link
WO (1) WO2021100890A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100857578B1 (en) * 2007-05-14 2008-09-09 주식회사 유진로봇 Assistance robot for visually impaired
KR101102994B1 (en) * 2011-03-09 2012-01-05 주식회사 엔티리서치 Transport robot for medical samples
KR20120103899A (en) * 2011-03-11 2012-09-20 주식회사 바이오닉스 Robot system for aiding nurse and method thereof
KR20140040094A (en) * 2011-01-28 2014-04-02 인터치 테크놀로지스 인코퍼레이티드 Interfacing with a mobile telepresence robot
KR20170127591A (en) * 2016-05-11 2017-11-22 문건 Health care robot

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100857578B1 (en) * 2007-05-14 2008-09-09 주식회사 유진로봇 Assistance robot for visually impaired
KR20140040094A (en) * 2011-01-28 2014-04-02 인터치 테크놀로지스 인코퍼레이티드 Interfacing with a mobile telepresence robot
KR101102994B1 (en) * 2011-03-09 2012-01-05 주식회사 엔티리서치 Transport robot for medical samples
KR20120103899A (en) * 2011-03-11 2012-09-20 주식회사 바이오닉스 Robot system for aiding nurse and method thereof
KR20170127591A (en) * 2016-05-11 2017-11-22 문건 Health care robot

Similar Documents

Publication Publication Date Title
Martin et al. Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation
Tang et al. Towards BCI-actuated smart wheelchair system
Rebsamen et al. A brain-controlled wheelchair based on P300 and path guidance
JP6578108B2 (en) Assistant device and interaction method executed by assistant device
Bastos-Filho et al. Towards a new modality-independent interface for a robotic wheelchair
Braga et al. IntellWheels: Modular development platform for intelligent wheelchairs.
Gross et al. Mobile robotic rehabilitation assistant for walking and orientation training of stroke patients: A report on work in progress
Zhao et al. A smart robotic walker with intelligent close-proximity interaction capabilities for elderly mobility safety
Efthimiou et al. The MOBOT rollator human-robot interaction model and user evaluation process
Chalvatzaki et al. Towards a user-adaptive context-aware robotic walker with a pathological gait assessment system: First experimental study
Karpov et al. Architecture of a wheelchair control system for disabled people: towards multifunctional robotic solution with neurobiological interfaces
WO2021100890A1 (en) System for controlling driving to recognize and avoid obstacle, and method thereof
Chalvatzaki et al. Comparative experimental validation of human gait tracking algorithms for an intelligent robotic rollator
Tomari et al. Enhancing wheelchair manoeuvrability for severe impairment users
Maciel et al. Shared control methodology based on head positioning and vector fields for people with quadriplegia
Tang et al. Toward brain-actuated mobile platform
KR20210060182A (en) Obstacle avoidance driving system based on blockage-aware and the method thereof
Sidik et al. A review on electric wheelchair innovation to ease mobility and as a rehabilitation tool for spinal cord impairment patient
Sakthivel et al. A literature review: a novel human vital sign based wheel chair cum stretcher for disabled person
Mello et al. Towards a new generation of smart devices for mobility assistance: CloudWalker, a cloud-enabled cyber-physical system
Rios-Martinez et al. Intention driven human aware navigation for assisted mobility
KR20220005673A (en) Method for controlling moving body based on collaboration between the moving body and human, and apparatus for controlling the moving body thereof
KR102374649B1 (en) Personalized internet of things medical system
WO2020116808A1 (en) Body care motion tracking device and body care management method using same
Okugawa et al. Driving control of a powered wheelchair by voluntary eye blinking and with environment recognition

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19953048

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19953048

Country of ref document: EP

Kind code of ref document: A1