Wheeled robots playing chain catch: strategies and evaluation

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dc.contributor.author Agrawal, Garima
dc.contributor.author Karlapalem, Kamalakar
dc.date.accessioned 2016-04-16T11:04:23Z
dc.date.available 2016-04-16T11:04:23Z
dc.date.issued 2016-02
dc.identifier.citation Agrawal, Garima and Karlapalem, Kamalakar, “Wheeled robots playing chain catch: strategies and evaluation”, arXiv, Cornell University Library, DOI: arXiv:1601.02374, Feb. 2016. en_US
dc.identifier.other arxiv.org/abs/1602.06460
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/2176
dc.description.abstract Robots playing games that humans are adept in is a challenge. We studied robotic agents playing Chain Catch game as a Multi-Agent System (MAS). Our game starts with a traditional Catch game similar to Pursuit evasion, and further extends it to form a growing chain of predator agents to chase remaining preys. Hence Chain Catch is a combination of two challenges - pursuit domain and robotic chain formation. These are games that require team of robotic agents to cooperate among themselves and to compete with other group of agents through quick decision making. In this paper, we present a Chain Catch simulator that allows us to incorporate game rules, design strategies and simulate the game play. We developed cost model driven strategies for each of Escapee, Catcher and Chain. Our results show that Sliding slope strategy is the best strategy for Escapees whereas Tagging method is the best method for chain s movement in Chain Catch. We also use production quality robots to implement the game play in a physical environment and analyze game strategies on real robots. Our real robots implementation in different scenarios shows that game strategies work as expected and a complete chain formation takes place successfully in each game. en_US
dc.description.statementofresponsibility by Garima Agrawal and Kamalakar Karlapalem
dc.language.iso en_US en_US
dc.publisher Cornell University Library en_US
dc.subject Multiagent systems en_US
dc.subject Robots en_US
dc.subject Chain catch en_US
dc.subject Games en_US
dc.subject Escapee en_US
dc.title Wheeled robots playing chain catch: strategies and evaluation en_US
dc.type Preprint en_US


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