Wheeled Robots playing Chain Catch: Strategies and Evaluation

被引：0

作者：

Agrawal, Garima ^{[1
]}

Karlapalem, Kamalakar ^{[1
,2
]}

机构：

[1] Int Inst Informat Technol, Hyderabad, Telangana, India

[2] IIT Gandhinagar, Gandhinagar, Gujarat, India

来源：

AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS | 2016年

关键词：

Strategies; Multi-agent games; Simulation; Robots; Heuristics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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). 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.

引用

页码：1283 / 1284

页数：2