Gambit: An Autonomous Chess-Playing Robotic System
This paper presents Gambit, a custom, mid-cost 6- DoF robot manipulator system that can play physical board games against human opponents in non-idealized environments. Historically, unconstrained robotic manipulation in board games has often proven to be more challenging than the underlying game reasoning, making it an ideal testbed for small-scale manipulation. The Gambit system includes a low-cost Kinectstyle visual sensor, a custom manipulator, and state-of-the-art learning algorithms for automatic detection and recognition of the board and objects on it. As a use-case, we describe playing chess quickly and accurately with arbitrary, uninstrumented boards and pieces, demonstrating that Gambit’s engineering and design represent a new state-of-the-art in fast, robust tabletop manipulation.
Mechanism Design of Manipulators Physical Human Robot Interaction
Cynthia Matuszek Dieter Fox Brian Mayton Roberto Aimi Marc Peter Deisenroth Liefeng Bo Robert Chu Mike Kung Louis LeGrand Joshua R. Smith
Dept. of Computer Science & Engineering,University of Washington,Seattle,WA Dept. of Computer Science & Engineering,University of Washington,Seattle,WA Intel Labs Seattle,Seatt MIT Media Lab,Cambridge,MA Alium Labs LLC Intel Labs Seattle,Seattle,WA Dept. of Computer Science & Engineering,University of Washington,Seattle,WA Dept. of Electrical Engi
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
4291-4297
2011-05-09(万方平台首次上网日期,不代表论文的发表时间)