본문 바로가기
KERD
논문KCI 등재

자율주행로봇을 위한 임계기반 충돌회피기법

Criticality Based Collision Avoidance Method for Autonomous Mobile Robot

1

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류기계공학

초록

Robots for a wide range of purposes have been developed along with the rapid industrialization. On the basis of higher convenience, the robots have been creating new industrial environment. The robots are generally classified into service robots and industrial robots. Robots in various shapes have been developed on the basis of the autonomous mobile robots. The autonomous mobile robots have the possibility to crash against any object in their moving range. This paper suggests a collision avoidance method to prevent collision of robots. The collision avoidance method analyzes the road context data and makes a robot move to a safe area. The collision avoidance method proposed in this paper converts the road context data into the information value. The collision avoidance method analyzes the present risk on the basis of the converted information value. The collision avoidance method makes a robot move to a safe area when crash is estimated by the information analysis.

Abstract

Robots for a wide range of purposes have been developed along with the rapid industrialization. On the basis of higher convenience, the robots have been creating new industrial environment. The robots are generally classified into service robots and industrial robots. Robots in various shapes have been developed on the basis of the autonomous mobile robots. The autonomous mobile robots have the possibility to crash against any object in their moving range. This paper suggests a collision avoidance method to prevent collision of robots. The collision avoidance method analyzes the road context data and makes a robot move to a safe area. The collision avoidance method proposed in this paper converts the road context data into the information value. The collision avoidance method analyzes the present risk on the basis of the converted information value. The collision avoidance method makes a robot move to a safe area when crash is estimated by the information analysis.

참고문헌 (8)

  1. C. Lamini, "Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning", Procedia Computer Science, pp.180~189 (2018)
  2. A. Pandey, "Autonomous Mobile Robot navigation between Static and Dynamic Obstacles using Multipe ANFIS Architecture", World Journal of Engineering, 16(2), pp.275~286 (2019)
  3. I. Hassani, "Robot Path Planning with Avoiding Obstacles using Free Segments and Turning Points Algorithms", Mathematical problem in Engineering, 6, pp.1~13 (2018)
  4. N. H. Singh, "Mobile Robot Navigation using Fuzzy Logic in Static Environments", The 6th Int. Conf. on Smart Computing and Communications, pp.11~17 (2017)
  5. R. Zhao, "Autonomous Navigation of a Mobile Robot in Unknown Environment", Int. J. of computer, pp.19~24 (2015)
  6. U. Farooq, "Fuzzy Logic Based Path Tracking Controller for Wheeled Mobile Robots", Int. J. of Computer and Electrical Engineering, 6(2), pp.145~150 (2014)
  7. B. Kinm, "Robust Object Segmentation using a Multi-Layer Laser Scanner", Sensors, 14, pp.20400~20418 (2014)
  8. F. Cherni, "A Local Obstacle Avoidance Control Law for Mobile Robot Navigation based on Beam Curvature Method", Int. Multi-conference on Systems Signals and Devices 2015, pp.1~5 (2015)

관련 논문AI추천

이 간행물의 다른 논문 (28건)