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 …
Multi-objective genetic algorithm-based autonomous path planning for hinged-tetro reconfigurable tiling robot
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 …
provide and the complex actions they could perform. Robots with reconfigurability are …
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 output feedback based robust saturated controller design for pavement sweeping self-reconfigurable robot
MM Rayguru, RE Mohan, R Parween… - IEEE/ASME …, 2021 - ieeexplore.ieee.org
Mobile robots play a crucial role in cleaning, maintenance, and surveillance applications.
This article advocates for the use of a novel robust output feedback based path following …
This article advocates for the use of a novel robust output feedback based path following …
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 …
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 …
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 …
domestic fields such as site investigation, search, rescue, security, cleaning, and …
Sparrow: A magnetic climbing robot for autonomous thickness measurement in ship hull maintenance
R Enjikalayil Abdulkader, P Veerajagadheswar… - Journal of Marine …, 2020 - mdpi.com
The maintenance of ship hulls involves a series of routine tasks during dry-docking that
renews its life-time and operating efficiency. One such task is hull inspection, which is …
renews its life-time and operating efficiency. One such task is hull inspection, which is …