Gambit: An Autonomous Chess-Playing Robotic System
Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua Smith and Dieter Fox
In: ICRA 2011, May 2011, Shanghai, China.
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 Kinect-style 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.