Author : Rohit Verma
Abstract : Obstacle avoidance is a fundamental capability in autonomous mobile robots that enables them to navigate safely through environments without collisions. This paper explores various obstacle avoidance techniques employed in mobile robotics, including reactive methods such as the Bug Algorithm and Artificial Potential Fields, as well as deliberative approaches like the Vector Field Histogram and Dynamic Window Approach. The strengths, limitations, and applicability of each technique are examined through comparative analysis. Modern techniques integrating sensor fusion and machine learning are also discussed. The paper aims to provide a comprehensive overview that aids in selecting the most suitable obstacle avoidance strategies for different robotic applications.
Keywords: Obstacle Avoidance, Mobile Robots, Path Planning, Sensors, AI in Robotics
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