A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms
CS Tan, R Mohd-Mokhtar, MR Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
Coverage path planning for decomposition reconfigurable grid-maps using deep reinforcement learning based travelling salesman problem
Optimizing the coverage path planning (CPP) in robotics has become essential to
accomplish efficient coverage applications. This work presents a novel approach to solve …
accomplish efficient coverage applications. This work presents a novel approach to solve …
Energy-efficient path planning of reconfigurable robots in complex environments
Planning the energy-efficient and collision-free paths for reconfigurable robots in complex
environments is more challenging than conventional fixed-shaped robots due to their …
environments is more challenging than conventional fixed-shaped robots due to their …
Reinforcement learning-based complete area coverage path planning for a modified hTrihex robot
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 …
Current commercial indoor cleaning robots have fixed morphology and are restricted to …
An algorithm of complete coverage path planning for unmanned surface vehicle based on reinforcement learning
B Xing, X Wang, L Yang, Z Liu, Q Wu - Journal of Marine Science and …, 2023 - mdpi.com
A deep reinforcement learning method to achieve complete coverage path planning for an
unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the …
unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the …
Collaborative complete coverage and path planning for multi-robot exploration
HY Lin, YC Huang - Sensors, 2021 - mdpi.com
In mobile robotics research, the exploration of unknown environments has always been an
important topic due to its practical uses in consumer and military applications. One specific …
important topic due to its practical uses in consumer and military applications. One specific …
Reinforcement learning-based optimal complete water-blasting for autonomous ship hull corrosion cleaning system
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 …
operation of the shipping industry. Deploying the autonomous system to remove the …
Accelerated earth-rockfill dam compaction by collaborative operation of unmanned roller fleet
M Shi, J Wang, Q Li, B Cui, S Guan… - Journal of Construction …, 2022 - ascelibrary.org
The use of unmanned rollers for the compaction of the earth-rockfill dams is of great
significance. However, collaborative control of multiple unmanned rollers at the construction …
significance. However, collaborative control of multiple unmanned rollers at the construction …
Towards optimal hydro-blasting in reconfigurable climbing system for corroded ship hull cleaning and maintenance
The operation of a ship in the ocean depends crucially on the quality of routine offshore dry
dock maintenance. Automation by robotics is an efficient solution to address the issues of …
dock maintenance. Automation by robotics is an efficient solution to address the issues of …
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 …
the entire area. Current tiling robots for area coverage have fixed forms and are limited to …