Designing distributed control architecture for cooperative multi-agent system and its real-time application to soccer robot
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Cited by (30)
Group consensus of multi-agent systems with cooperative-competitive interaction and communication delay in switching topologies networks based on the delta operator method
2020, NeurocomputingCitation Excerpt :In recent years, multi-agent systems (MASs) has become a hot area in artificial intelligence science due its promising applications in control of multi-robots system [1,2], network security [3–5] and other fields [6].
Mapping and exploration in a hierarchical heterogeneous multi-robot system using limited capability robots
2013, Robotics and Autonomous SystemsCitation Excerpt :Three broad categories of multi-robot system applications are transportation, sensing, and foraging. Object transportation involves multiple robots transporting objects from one location to another and has been exhibited in robot soccer teams [1–3] as well as in object pushing [4,5] and object lifting and carrying [6,7]. Cooperative sensing develops a group robotic system for localisation, map building, and exploration [8–11].
An artificial neural network based dynamic controller for a robot in a multi-agent system
2009, NeurocomputingCitation Excerpt :The assumptions made in the proposed control scheme are as follows: The robot soccer system consists of remote brainless robots [24,36] and they are subjected to nonholonomic constraints. The robots have longitudinal and transverse axes of symmetry and the centre of gravity is located at the intersection of the planes containing these axes of symmetry [36,41].
Asymptotic control for wheeled mobile robots with driftless constraints
2003, Robotics and Autonomous SystemsModular Q-learning based multi-agent cooperation for robot soccer
2001, Robotics and Autonomous SystemsRapid control prototyping for robot soccer
2009, Robotica