Agrawal, GarimaGarimaAgrawalKarlapalem, KamalakarKamalakarKarlapalem2025-08-302025-08-302016-01-01[9781450342391]2-s2.0-85014205894https://d8.irins.org/handle/IITG2025/22625Robots playing games that humans are adept in is a challenge. We studied robotic agents playing Chain Catch game as a Multi-Agent System (MAS). Chain Catch is a combination of two challenges - pursuit domain and robotic chain formation. 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, simulation and robots implementation 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.falseHeuristics | Multi-agent games | Robots | Simulation | StrategiesConference Paper155829141283-128420162cpConference Proceeding