Results 11 to 20 of about 5,119,496 (310)

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration [PDF]

open access: yesAdaptive Agents and Multi-Agent Systems, 2023
We consider the problem of cooperative exploration, where multiple robots need to cooperatively explore an unknown region as fast as possible. Multi-agent reinforcement learning (MARL) has recently become a trending paradigm for solving this challenge ...
Chao Yu   +10 more
semanticscholar   +1 more source

Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art

open access: yesRobotics Auton. Syst., 2023
In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is among the most interesting MRS problems.
Hamza Chakraa   +3 more
semanticscholar   +1 more source

A Critical Review of Communications in Multi-robot Systems [PDF]

open access: yesCurrent Robotics Reports, 2022
This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to ...
Jennifer Gielis   +2 more
semanticscholar   +1 more source

Implementation consensus algorithm and leader-follower of multi-robot system formation

open access: yesJurnal Ilmiah SINERGI, 2023
Robot technology has recently been applied to many applications to help human activities. Mobile Robot is one of the most flexible robot technology. This research uses a mobile robot designed using an omnidirectional wheel for the movement mechanism ...
Noval Lilansa   +3 more
doaj   +1 more source

Group-Based Distributed Auction Algorithms for Multi-Robot Task Assignment

open access: yesIEEE Transactions on Automation Science and Engineering, 2023
This paper studies the multi-robot task assignment problem in which a fleet of dispersed robots needs to efficiently transport a set of dynamically appearing packages from their initial locations to corresponding destinations within prescribed time ...
Xiaoshan Bai   +4 more
semanticscholar   +1 more source

Multi-Robot Collaborative Perception With Graph Neural Networks [PDF]

open access: yesIEEE Robotics and Automation Letters, 2022
Multi-robot systems such as swarms of aerial robots are naturally suited to offer additional flexibility, resilience, and robustness in several tasks compared to a single robot by enabling cooperation among the agents.
Yang Zhou   +3 more
semanticscholar   +1 more source

A strategy for multi-robot navigation [PDF]

open access: yesIEEE Conference on Decision and Control and European Control Conference, 2011
The paper addresses the problem of trajectory regulation of driftless systems such that a stabilizing control input is assumed exists. The perturbed trajectory depends on a regulation control-input which must be designed such that the system's stability is preserved and some undesirable sets belonging to navigation area must be avoided.
Lotfi Beji   +2 more
openaire   +2 more sources

Research on the Multi-Robot Cooperative Pursuit Strategy Based on the Zero-Sum Game and Surrounding Points Adjustment

open access: yesMachines, 2021
Making full use of the cooperation of multi-robots can improve the success rate of apursuit task. Therefore, this paper proposes a multi-robot cooperative pursuit strategy based on the zero-sum game and surrounding points adjustment.
Gang Chen   +4 more
doaj   +1 more source

Multi-robot task scheduling [PDF]

open access: yes2013 IEEE International Conference on Robotics and Automation, 2013
The scheduling problem has been studied extensively in the literature. Many algorithms have been developed to operate with different types of processors and tasks. In the robotics domain, when considering each robot as a processor, some of these algorithms can be directly adapted.
Yu Zhang, Lynne E. Parker
openaire   +2 more sources

Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments

open access: yesFrontiers in Neurorobotics, 2023
Cooperative autonomous exploration is a challenging task for multi-robot systems, which can cover larger areas in a shorter time or path length. Using multiple mobile robots for cooperative exploration of unknown environments can be more efficient than a
Xiangda Yan   +3 more
doaj   +1 more source

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