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 …

Review of methodologies and tasks in swarm robotics towards standardization

N Nedjah, LS Junior - Swarm and Evolutionary Computation, 2019 - Elsevier
Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …

Dynamic frontier-led swarming: Multi-robot repeated coverage in dynamic environments

VP Tran, MA Garratt, K Kasmarik… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
A common assumption of coverage path planning research is a static environment. Such
environments require only a single visit to each area to achieve coverage. However, some …

Multiagent learning paradigms

K Tuyls, P Stone - Multi-Agent Systems and Agreement Technologies …, 2018 - Springer
Abstract “Perhaps a thing is simple if you can describe it fully in several different ways,
without immediately knowing that you are describing the same thing”–Richard Feynman …

Development of an Attention Mechanism for Task-Adaptive Heterogeneous Robot Teaming

Y Guo, C Huang, R Liu - AI, 2024 - mdpi.com
The allure of team scale and functional diversity has led to the promising adoption of
heterogeneous multi-robot systems (HMRS) in complex, large-scale operations such as …

Design attention awareness among robots for uncertainty-adaptive heterogeneous teaming

C Huang, R Liu - … Conference on Advanced Robotics and Its …, 2022 - ieeexplore.ieee.org
Attracted by team size and robot function diversity, heterogeneous multi-robot system (MRS),
where multiple robots with different capabilities are coordinated to perform tasks, has been …

Online Multi-Robot Coverage Path Planning in Dynamic Environments Through Pheromone-Based Reinforcement Learning

K Champagnie, B Chen, F Arvin… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
Two promising approaches to coverage path planning are reward-based and pheromone-
based methods. Reward-based methods allow heuristics to be learned automatically, often …

Robot inner attention modeling for task-adaptive teaming of heterogeneous multi robots

C Huang, R Liu - arxiv preprint arxiv:2006.15482, 2020 - arxiv.org
Attracted by team scale and function diversity, a heterogeneous multi-robot system (HMRS),
where multiple robots with different functions and numbers are coordinated to perform tasks …

An energy efficient Metaheuristic method for Micro Robots Indoor area Coverage problem

S Saeedvand, HS Aghdasi - 2016 6th International Conference …, 2016 - ieeexplore.ieee.org
Recently micro robots have become more popular for realizing many indoor area coverage
applications. According to the characteristics and limited energy of micro robots, they usually …

[PDF][PDF] A Multi-robot Communication Framework for the Analysis and Mitigation of Network Perturbations

T Zhivkov, E Sklar, S Miles - 2020 - kclpure.kcl.ac.uk
As multi-robot systems (MRS) become more affordable, they transition from being used in
controlled research laboratories into practical environments. For example, in a physical …