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ELA: 가변 형상 구조로봇의 자율주행을 위한 실시간 장애물 회피 기법

ELA: Real-time Obstacle Avoidance for autonomous Navigation of Variable Configuration Rescue Robots

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초록

We propose a novel real-time obstacle avoidance method for rescue robots. This method, named the ELA(Emergency Level Around), permits the detection of unknown obstacles and avoids collisions while simultaneously steering the mobile robot toward safe position. In the ELA, we consider two sensor modules, PSD(Position Sensitive Detector) infrared sensors taking charge of obstacle detection in short distance and LMS(Laser Measurement System) in long distance respectively. Hence if a robot recognizes an obstacle ahead by PSD infrared sensors first, and judges impossibility to overcome the obstacle based on driving mode decision process, the order of priority is transferred to LMS which collects data of radial distance centered on the robot to avoid the confronted obstacle. After gathering radial information, the ELA algorithm estimates emergency level around a robot and generates a polar histogram based on the emergency level to judge where the optimal free space is. Finally, steering angle is determined to guarantee rotation to randomly direction as well as robot width for safe avoidance. Simulation results from wandering in closed local area which includes various obstacles and different conditions demonstrate the power of the ELA.

Abstract

We propose a novel real-time obstacle avoidance method for rescue robots. This method, named the ELA(Emergency Level Around), permits the detection of unknown obstacles and avoids collisions while simultaneously steering the mobile robot toward safe position. In the ELA, we consider two sensor modules, PSD(Position Sensitive Detector) infrared sensors taking charge of obstacle detection in short distance and LMS(Laser Measurement System) in long distance respectively. Hence if a robot recognizes an obstacle ahead by PSD infrared sensors first, and judges impossibility to overcome the obstacle based on driving mode decision process, the order of priority is transferred to LMS which collects data of radial distance centered on the robot to avoid the confronted obstacle. After gathering radial information, the ELA algorithm estimates emergency level around a robot and generates a polar histogram based on the emergency level to judge where the optimal free space is. Finally, steering angle is determined to guarantee rotation to randomly direction as well as robot width for safe avoidance. Simulation results from wandering in closed local area which includes various obstacles and different conditions demonstrate the power of the ELA.

참고문헌 (8)

  1. Z. Wang, "Review of Locomotion Mechanisms of Urban Search and Rescue Robot", Industrial Robot: An International Journal, 34(5), pp.400~411 (2007)
  2. 최근하, "장애물 탐지에 의한 가변 트랙형 주행로봇의 주행모드 제어", 석사, 한국과학기술원, pp.2007
  3. J. Borenstein, "Real-time Obstacle Avoidance for Fast Mobile Robots", IEEE Transactions on Systems Man and Cybernetics, 19(5), pp.1179~1187 (1989)
  4. J. Borenstein, "The Vector Field Histogram – Fast Obstacle Avoidance for Mobile Robots", IEEE Journal of Robotics and Automation, 7(3), pp.278~288 (1991)
  5. D. Fox, "The Dynamic Window Approach to Collision Avoidance", IEEE Robotics & Automation Magazine, 4(1), pp.23~33 (1997)
  6. J.Minguez, "Nearness Diagram (ND) Navigation: Collision Avoidance in Troublesome Scenarios", IEEE Transactions on Robotics and Automation, 20(1), pp.45~59 (2004)
  7. I. Ulrich, "VFH: Local Obstacle Avoidance with Look-Ahead Verification", Proceedings of the 2000 IEEE International Conference on Robotics and Automation, pp.2505~2511 (2000)
  8. I. Ulrich, "VFH+: Reliable Obstacle Avoidance for Fast Mobile Robots", IEEE International Conference on Robotics and Automation, pp.1572~1577 (1998)

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