Autonomous Obstacle Avoidance for a Hexapod Robot Using Proximity Sensors

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dc.contributor.authorZennir Youcef
dc.date.accessioned2024-10-09T09:08:01Z
dc.date.available2024-10-09T09:08:01Z
dc.date.issued2024-06-30
dc.description.abstractThe hexapod walking robot serves as a versatile mobile platform, adept at navigating challenging terrains owing to its stable leg-based locomotion. Demonstrating high stability in both static and dynamic states, it effectively traverses terrains with obstacles. In this paper, we propose a method for obstacle avoidance utilizing proximity sensors, integrated with an Intelligent Walking Algorithm (IWA) for locomotion control, and a tripod gait algorithm for walking. Our simulations were conducted using the CoppeliaSim simulator with the Python interface. The results were highly satisfactory, as the robot consistently avoided obstacles with a remarkable combination of stability and precision.
dc.identifier.issn2992-054X
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/2594
dc.language.isoen
dc.publisherinternational Journal of Automation and Safety (IJAS)Vol.02, N°: 01.pp 01-06
dc.titleAutonomous Obstacle Avoidance for a Hexapod Robot Using Proximity Sensors
dc.typeArticle
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