ICRA 2011 Paper Abstract


Paper WeP211.5

Matuszek, Cynthia (University of Washington), Mayton, Brian (Massachusetts Instititute of Technology), Aimi, Roberto (Alium Labs), Deisenroth, Marc Peter (University of Washington), Bo, Liefeng (University of Washington), Chu, Robert (University of Washington), Kung, Mike (University of Washington), LeGrand, Louis (Intel Research), Smith, Joshua R. (University of Washington), Fox, Dieter (University of Washington)

Gambit: An Autonomous Chess-Playing Robotic System

Scheduled for presentation during the Regular Sessions "Physical Human-Robot Interaction II" (WeP211), Wednesday, May 11, 2011, 16:25−16:40, Room 5F

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on July 14, 2020

Keywords Physical Human-Robot Interaction, New Actuators for Robotics, Dexterous Manipulation


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 Gambitís engineering and design define a new state-of-the-art in fast, robust tabletop manipulation.



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