Designing of Obstacle Avoidance Robot using Obstacle-Restriction Method

Authors

  • Mr Abhishek Shukla
  • Lina Nath

Keywords:

Obstacle-Restriction Method (ORM), Obstacles Avoidance, Obstacles Restriction

Abstract

This article addresses the Designing process of Obstacle Avoidance Robot using Obstacle-Restriction Method, commonly known as ORM, for difficult scenarios that usually are dense, complex and cluttered. The proposed method can be called as obstacles restriction method in which at each iteration of the control cycle, this method addresses the obstacle avoidance in two steps. First there is procedure to compute instantaneous sub-goals in the obstacle structure (obtained by the sensors). The second step associates a motion restriction to each obstacle, which are managed next to compute the most promising motion direction. The advantage of this technique is that it avoids common limitations of previous obstacle avoidance methods, improving their navigation performance in difficult scenarios.

References

[1] Minguez J. The Obstacle-Restriction Method (ORM) for Robot Obstacle Avoidance in Difficult Environments. IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS2005) Aug 2005: 2284-90.
[2] Feiten W, Bauer R, Lawitzky G. Robust Obstacle Avoidance in Unknown and Cramped Environments. IEEE Int. Conf. on Robotics and Automation, San Diego, USA, 1994: 2412-17.
[3] Azarm K, Schmidt G. Integrated mobile robot motion planning and execution in changing indoor environments. IEEE/RSJ International Conference on Intelligent Robots and Systems, Munchen, Germany, 1994: 298-305.
[4] Minguez J, Osuna J, Montano L. A Divide and Conquer Strategy to Achieve Reactive Collision Avoidance in Troublesome Scenarios. IEEE International Conference on Robotics and Automation, Minessota, USA, 2004.
[5] Quinlan S, Khatib O. Elastic Bands: Connecting Path Planning and Control. IEEE Int. Conf. on Robotics and Automation, Atlanta, USA, 1993; 2: 802-807.
[6] Khatib O. Real-Time Obstacle Avoidance for Manipulators and Mobile Robots. Int Journal of Robotics Research 1986; 5: 90-98.
[7] Masoud A, Masoud S, Bayoumi M. Robot navigation using a pressure generated mechanical stress field, the biharmonical potential approach. IEEE International Conference on Robotics and Automation, San Diego, USA, 1994: 124-29.

Published

2019-01-07