Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks
Y Shida, T Jimbo, T Odashima, T Matsubara - ar**, and disaster
response. However, it poses significant challenges in environments where objects of various …
response. However, it poses significant challenges in environments where objects of various …
Intelligent multi-robot collaborative transport system
The research on multi-robot systems has been divided into various fields, such as
communication, navigation, task allocation, and collaborative transport. While significant …
communication, navigation, task allocation, and collaborative transport. While significant …
Distributed Control of Collaborative Multi-Agent Systems using Interpreted Petri Nets through Indirect Interactions
This work introduces a framework to describe and control collaborative systems in a
distributed manner. Within this framework, both a set of agents and a specification to be …
distributed manner. Within this framework, both a set of agents and a specification to be …
Efficient Multi-Robot Cooperative Transportation Scheduling System
The efficiency of operations in complex environments such as factories increasingly relies
on the coordinated efforts of multiple robots. This paper introduces a novel scheduling …
on the coordinated efforts of multiple robots. This paper introduces a novel scheduling …
Reinforcement Learning based Sequential Multi-Robot Task Allocation Considering Weight of Objects and Payload of Robots
NH Lee, TY Uhm, JH Park, KS Noh… - 2023 23rd International …, 2023 - ieeexplore.ieee.org
Recently, many studies have been conducted that apply deep reinforcement learning to
multi-robot task allocation. However, most of them are in the form of distributing the same …
multi-robot task allocation. However, most of them are in the form of distributing the same …