Reinforcement Learning-Based Energy-Aware Area Coverage for Reconfigurable hRombo Tiling Robot

Reinforcement Learning-Based Energy-Aware Area Coverage for Reconfigurable hRombo Tiling Robot

Applying the automation in covering the areas entirely eases manual jobs in various domestic fields such as site investigation, search, rescue, security, cleaning, and maintenance. A self-reconfigurable robot with adjustable dimensions is a viable answer to improve the coverage percentage for predef...

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Bibliographic Details
Main Authors: Anh Vu Le, Rizuwana Parween, Phone Thiha Kyaw, Rajesh Elara Mohan, Tran Hoang Quang Minh, Charan Satya Chandra Sairam Borusu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Reconfigurable robot
tiling robotic
reinforcement learning
complete coverage planning
energy path planning
Online Access:https://ieeexplore.ieee.org/document/9262896/

Internet

https://ieeexplore.ieee.org/document/9262896/

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