Dynamic Algorithm Selection for Mobile Robots Motion Planning

Selecting the appropriate algorithms to construct a synthetic planner for mobile robots in a given environment is a very beneficial task. The planner of mobile robots is a highlyconfigurable system, which mainly includes obstacle avoidance and navigation algorithms. This paper presents a framework t...

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Veröffentlicht in:	2019 6th International Conference on Dependable Systems and Their Applications (DSA) S. 499 - 500
Hauptverfasser:	Tang, Wenbing, Zheng, Libin, Jiang, Mingyue, Ding, Zuohua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2020
Schlagworte:	dynamic algorithm selection Dynamics Heuristic algorithms mobile robot Mobile robots motion planning Navigation Planning Runtime Task analysis
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Beschreibung
Zusammenfassung:	Selecting the appropriate algorithms to construct a synthetic planner for mobile robots in a given environment is a very beneficial task. The planner of mobile robots is a highlyconfigurable system, which mainly includes obstacle avoidance and navigation algorithms. This paper presents a framework to dynamically combine the synthetic planner according to the robot surrounding environment and the robotic states. Furthermore, two feasible approaches are introduced to select, i.e., the blackbox approach and the rule-based approach.
DOI:	10.1109/DSA.2019.00084