Abstract

Autonomous mobile robot path planning is considered as a complex task in unknown, highly uncertain and dynamic environments. The presence of diverse and uncertain objects present in the environment makes the autonomous navigation of a mobile robot a difficult and expensive task. Artificial potential field (APF) provides a good and easy solution to the path planning problem resulting in a collision free navigation of a mobile robot from source to destination. One of the inherent problems in APF based path planning is the Local Minima problem. This paper provides a fuzzy based approach to path planning in addition to steering a robot out of local minima configuration with a comparative analysis of some non-fuzzy approaches.

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