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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Matuszek, C. Mayton, B. Aimi, R. Deisenroth, M.P. Liefeng Bo Chu, R. Kung, M. LeGrand, L. Smith, J.R. Fox, D. |
| Copyright Year | 2011 |
| Description | Author affiliation: Alium Labs LLC, USA (Aimi, R.) || Dept. of Computer Science & Engineering, University of Washington, Seattle, USA (Matuszek, C.; Deisenroth, M.P.; Liefeng Bo; Chu, R.; Kung, M.; Smith, J.R.; Fox, D.) || Intel Labs Seattle, WA, USA (LeGrand, L.) || MIT Media Lab, Cambridge, MA, USA (Mayton, B.) |
| Abstract | 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. |
| Starting Page | 4291 |
| Ending Page | 4297 |
| File Size | 1937260 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781612843865 |
| ISSN | 10504729 |
| e-ISBN | 9781612843858 |
| DOI | 10.1109/ICRA.2011.5980528 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Games Cameras Robot sensing systems Image color analysis Detectors Humans Physical Human Robot Interaction Mechanism Design of Manipulators |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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