Coverage Path Planning Using Reinforcement Learning-Based TSP for hTetran—A Polyabolo-Inspired Self-Reconfigurable Tiling Robot

One of the critical challenges in deploying the cleaning robots is the completion of covering the entire area. Current tiling robots for area coverage have fixed forms and are limited to cleaning only certain areas. The reconfigurable system is the creative answer to such an optimal coverage problem...

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主要な著者:	Anh Vu Le, Prabakaran Veerajagadheswar, Phone Thiha Kyaw, Mohan Rajesh Elara, Nguyen Huu Khanh Nhan
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-04-01
シリーズ:	Sensors
主題:	reconfigurable system tiling robotic reinforcement learning TSP, complete path planning energy-aware reward function
オンライン･アクセス:	https://www.mdpi.com/1424-8220/21/8/2577
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