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An improved optimal reciprocal collision avoidance with Q-learning for local path planning of mobile robots

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
This paper aims to overcome the limitations of the traditional optimal reciprocal collision avoidance (ORCA) algorithm—which depends on perfect environmental perception and lacks adaptability—by introducing an enhanced ORCA framework that incorporates ...