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Proceedings ArticleDOI

Cooperative route-searching behavior of multi-robot system using hello-call communication

S. Ichikawa, +2 more
- Vol. 2, pp 1149-1156
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TLDR
The authors find that the multirobot system can generate a communication chain to be used for searching the route to their goal and demonstrate the Swarm intelligence of the multirobots system in the case of route-searching and the effects of robot population on the swarm intelligence.
Abstract
Deals with a computer simulation study of the cooperative behavior of multirobots for investigating the characteristics of swarm intelligence generated by multirobot system. Individual robots in the multirobot system are equipped with low-level intelligence to detect obstacles, steer, proceed, and undertake a hello-call communication. This paper first clarifies the characteristics of multirobot behavior under free traveling without hello-call communication and then the characteristics of hello-call communication with respect to message transmission power over whole member robots. Introducing a marker robot to the multi-robot system, the authors find that the multirobot system can generate a communication chain to be used for searching the route to their goal. They demonstrate the swarm intelligence of the multirobots system in the case of route-searching and show the effects of robot population on the swarm intelligence.

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Citations
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Cooperative mobile robotics: antecedents and directions

TL;DR: A critical survey of existing works in cooperative robotics is given and open problems in this field are discussed, emphasizing the various theoretical issues that arise in the study of cooperative robotics.
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Cooperative mobile robotics: antecedents and directions

TL;DR: A critical survey of existing works in collective robotics is given and open problems in this field are discussed, emphasizing the various theoretical issues that arise in the study of cooperative robotics.
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Distributed memoryless point convergence algorithm for mobile robots with limited visibility

TL;DR: The results of computer simulation under a more realistic model give convincing indication that the algorithm, if implemented on physical robots, will be robust against sensor and control error.
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Phylogenetic and Ontogenetic Learning in a Colony of Interacting Robots

TL;DR: The results show that learning is indeed possible with the Tropism Architecture, that the ability of a simulated robot colony to perform a gathering task improves with practice and that it can further improve with evolution over successive generations.
Book ChapterDOI

A Survey and Analysis of Cooperative Multi-Agent Robot Systems: Challenges and Directions

TL;DR: Since the research in the field of multi-agent robot research is expanding, some issues and future challenges in MARS are recalled, discussed and clarified with future directions.
References
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Proceedings ArticleDOI

Lunar base construction robots

TL;DR: The authors describe an experimental system they are building with 20 small bulldozers, which work without explicit coordination or communication, but nevertheless cooperate to achieve tasks that will be useful in building a manned lunar base.
Proceedings ArticleDOI

Theoretical problems for the realization of distributed robotic systems

TL;DR: This perspective suggests that the most promising approach to the design of practical algorithms for complex tasks might be to develop hybrid solutions comprising three stages: use of interacting many-body techniques to form one dimensional substructures in continuous space, application of cellular robot systems techniques to reconfigure the substructure with the desired qualities, and application of standard control theory techniques for maintaining the configuration during subsequent operation.
Proceedings ArticleDOI

Functional distribution among multiple mobile robots in an autonomous and decentralized robot system

TL;DR: The concept of ACTRESS is introduced, and the communication framework between robotic agents that compose the robot system is proposed, and an algorithm for static path planning and a strategy for dynamic path planning are proposed.