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Dynamic obstacle avoidance based on time-variation of a potential field for robots formation

Paulo Leica, Marco Herrera, Claudio Rosales, Flavio Robertí, Juan Marcos Toibero, Ricardo Carelli

发表年份
2017
引用次数
10

摘要

This paper presents a new dynamic obstacle avoidance strategy based on time-variation of a potential field, with multiple control objectives. The strategy uses the null space of a Jacobian matrix to achieve the different control objectives in a non-conflicting way while using either a flexible or a rigid formation to avoid static and mobile obstacles. By modifying the priorities of control objectives without changing the controller structure. Overall control system stability is analyzed and proven through Lyapunov theory. Experimental results for a three-robot formation show the performance of the proposed controllers.

关键词

Obstacle avoidanceControl theory (sociology)Jacobian matrix and determinantController (irrigation)Mobile robotObstacleComputer scienceLyapunov functionVariation (astronomy)Lyapunov stability

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