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Obstacle Avoidance Using Safe Dynamic Window Approach for Mobile Robot

Lena Susianti, Trihastuti Agustinah, Yurid Nugraha

Year
2024
Citations
2

Abstract

This paper proposes a Safe Dynamic Window Approach (SDWA) as an extension of the classical Dynamic Window Approach (DWA) to incorporate the Threat Level Index in order to insert safety and comfort criteria into human-robot interaction. SDWA takes into account both static and dynamic obstacles while ensuring safety and comfort distances whenever the TLI threshold values are 0.46 for safety and 0.29 for comfort. The results of the simulation reveal that SDWA is able to keep the TLI value constantly below 0.29, while the original DWA reached a maximum of 0.63, which means risk may occur. In addition, it can be seen that the navigation task accomplished by SDWA in 508’s is approximately twice as fast as the original DWA, which takes 1142’s to complete the same task. Accordingly, validation of the improvement capability of SDWA related to robot trajectory optimization with a guarantee on safety and comfort in dynamic interaction is performed.

Keywords

Obstacle avoidanceMobile robotCollision avoidanceComputer scienceObstacleWindow (computing)RobotArtificial intelligenceComputer visionReal-time computing

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