Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …
widely used recently to solve various engineering problems in logistics, manufacturing, and …
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 …
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 …
floor cleaning, building inspection, and maintenance, surface painting. One class of tiling …
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 …
Evolutionary algorithm-based complete coverage path planning for tetriamond tiling robots
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 …
area and generating the optimal trajectory during navigation. Developing a self …
Table cleaning task by human support robot using deep learning technique
This work presents a table cleaning and inspection method using a Human Support Robot
(HSR) which can operate in a typical food court setting. The HSR is able to perform a …
(HSR) which can operate in a typical food court setting. The HSR is able to perform a …
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 …