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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Detalles Bibliográficos
Autores principales: Le, Anh Vu, Veerajagadheswar, Prabakaran, Thiha Kyaw, Phone, Elara, Mohan Rajesh, Nhan, Nguyen Huu Khanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067765/
https://www.ncbi.nlm.nih.gov/pubmed/33916995
http://dx.doi.org/10.3390/s21082577

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067765/
https://www.ncbi.nlm.nih.gov/pubmed/33916995
http://dx.doi.org/10.3390/s21082577

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