Optimization Complete Area Coverage by Reconfigurable hTrihex Tiling Robot
Completed area coverage planning (CACP) plays an essential role in various fields of robotics, such as area exploration, search, rescue, security, cleaning, and maintenance. Tiling robots with the ability to change their shape is a feasible solution to enhance the ability to cover predefined map are...
Main Authors: | Anh Vu Le, Rizuwana Parween, Rajesh Elara Mohan, Nguyen Huu Khanh Nhan, Raihan Enjikalayil Abdulkader |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/11/3170 |
Similar Items
-
Reinforcement Learning-Based Complete Area Coverage Path Planning for a Modified hTrihex Robot
by: Koppaka Ganesh Sai Apuroop, et al.
Published: (2021-02-01) -
Coverage Path Planning Using Reinforcement Learning-Based TSP for hTetran—A Polyabolo-Inspired Self-Reconfigurable Tiling Robot
by: Anh Vu Le, et al.
Published: (2021-04-01) -
A metaheuristic approach to optimal morphology in reconfigurable tiling robots
by: Manivannan Kalimuthu, et al.
Published: (2023-04-01) -
Inter-Reconfigurable Robot Path Planner for Double-Pass Complete Coverage Problem
by: Ash Wan Yaw Sang, et al.
Published: (2024-03-01) -
Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
by: Rizuwana Parween, et al.
Published: (2021-05-01)