Complete coverage path planning using reinforcement learning for tetromino based cleaning and maintenance robot

AK Lakshmanan, RE Mohan, B Ramalingam… - Automation in …, 2020 - Elsevier
Tiling robotics have been deployed in autonomous complete area coverage tasks such as
floor cleaning, building inspection, and maintenance, surface painting. One class of tiling …

Toward energy-efficient online Complete Coverage Path Planning of a ship hull maintenance robot based on Glasius Bio-inspired Neural Network

MAVJ Muthugala, SMBP Samarakoon… - Expert systems with …, 2022 - Elsevier
Regular Ship hull maintenance is an essential for sustainability. The maintenance work of
ship hulls that involve human labor suffers from many shortcomings. Maintenance robots …

Coverage path planning for decomposition reconfigurable grid-maps using deep reinforcement learning based travelling salesman problem

PT Kyaw, A Paing, TT Thu, RE Mohan, AV Le… - IEEE …, 2020 - ieeexplore.ieee.org
Optimizing the coverage path planning (CPP) in robotics has become essential to
accomplish efficient coverage applications. This work presents a novel approach to solve …

Multi-objective genetic algorithm-based autonomous path planning for hinged-tetro reconfigurable tiling robot

KP Cheng, RE Mohan, NHK Nhan, AV Le - IEEE Access, 2020 - ieeexplore.ieee.org
Reconfigurable robots have received broad research interest due to the high dexterity they
provide and the complex actions they could perform. Robots with reconfigurability are …

[HTML][HTML] Reinforcement learning-based complete area coverage path planning for a modified hTrihex robot

KGS Apuroop, AV Le, MR Elara, BJ Sheu - Sensors, 2021 - mdpi.com
One of the essential attributes of a cleaning robot is to achieve complete area coverage.
Current commercial indoor cleaning robots have fixed morphology and are restricted to …

[HTML][HTML] Evolutionary algorithm-based complete coverage path planning for tetriamond tiling robots

AV Le, NHK Nhan, RE Mohan - Sensors, 2020 - mdpi.com
Tiling robots with fixed morphology face major challenges in terms of covering the cleaning
area and generating the optimal trajectory during navigation. Developing a self …

The application of an adaptive genetic algorithm based on collision detection in path planning of mobile robots

K Hao, J Zhao, B Wang, Y Liu… - Computational …, 2021 - Wiley Online Library
An adaptive genetic algorithm based on collision detection (AGACD) is proposed to solve
the problems of the basic genetic algorithm in the field of path planning, such as low …

Visual inspection of the aircraft surface using a teleoperated reconfigurable climbing robot and enhanced deep learning technique

B Ramalingam, VH Manuel, MR Elara… - International Journal …, 2019 - Wiley Online Library
Aircraft surface inspection includes detecting surface defects caused by corrosion and
cracks and stains from the oil spill, grease, dirt sediments, etc. In the conventional aircraft …

Reinforcement learning-based optimal complete water-blasting for autonomous ship hull corrosion cleaning system

AV Le, PT Kyaw, P Veerajagadheswar… - Ocean …, 2021 - Elsevier
Routine cleaning of the corroded ship hulls in dry dock maintenance guarantees the smooth
operation of the shipping industry. Deploying the autonomous system to remove the …

[HTML][HTML] Coverage path planning using reinforcement learning-based TSP for hTetran—A polyabolo-inspired self-reconfigurable tiling robot

AV Le, P Veerajagadheswar, P Thiha Kyaw, MR Elara… - Sensors, 2021 - mdpi.com
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 …