The Community for Technology Leaders
RSS Icon
Issue No.01 - January (2008 vol.41)
pp: 46-53
Michael Greenspan , Queen's University
Joseph Lam , Queen's University
Marc Godard , Queen's University
Imran Zaidi , Queen's University
Sam Jordan , Queen's University
Will Leckie , Nortel
Ken Anderson , Larus Technologies
Donna Dupuis , University of British Columbia
Deep Green is a vision-based, intelligent robotic system that currently shoots pool at a better-than-amateur level, with the ultimate goal of challenging a proficient human opponent at a championship level.
pool-playing robot, Deep Green, robotics
Michael Greenspan, Joseph Lam, Marc Godard, Imran Zaidi, Sam Jordan, Will Leckie, Ken Anderson, Donna Dupuis, "Toward a Competitive Pool-Playing Robot", Computer, vol.41, no. 1, pp. 46-53, January 2008, doi:10.1109/MC.2008.33
1. Sporting Goods Manufacturing Assoc., State of the Industry Report, 2005.
2. S.W.S. Chang, "Automating Skills Using a Robot Snooker Player," doctoral dissertation, Univ. of Bristol, Bristol, UK, 1994.
3. R. Popper, "Bring Back the Snooker-Playing Robot!," The Guardian,7 Aug. 2007, p. 3.
4. M.E. Alian et al., "Roboshark: A Gantry Pool Player Robot," Proc. 35th Int'l Symp. Robotics (ISR 04), 2004; alian_roboshark_isr04.pdf.
5. S.C. Chua et al., "Performance Evaluation of Fuzzy-Based Decision System for Pool," Applied Soft Computing, Jan. 2007, pp. 411–424.
6. Z.M. Lin, J.S. Yang, and C.Y. Yang, "Grey Decision-Making for a Billiard Robot," Proc. 2004 IEEE Int'l Conf. Systems, Man and Cybernetics, vol. 6, IEEE Press, 2004, pp. 5350–5355.
7. L.B. Larsen, M.D. Jensen, and W.K. Vodzi, "Multimodal User Interaction in an Automatic Pool Trainer," Proc. 4th IEEE Int'l Conf. Multimodal Interfaces (ICMI 2002), IEEE CS Press, 2002, pp. 361–366.
8. H. Denman, N. Rea, and A. Kokaram, "Content-Based Analysis for Video from Snooker Broadcasts," Computer Vision and Image Understanding, Nov./Dec. 2003, pp. 176–195.
9. F. Long et al., "Robotic Pool: An Experiment in Automatic Potting," Proc. 2004 IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS 2004), vol. 3, IEEE Press, 2004, pp. 361–366.
10. J. Lam, "Eye-in-Hand Visual Servoing to Improve Accuracy in Pool Robotics," master's thesis, Dept. Electrical and Computer Eng., Queen's Univ., Kingston, Canada, 2007.
11. D.G. Alciatore, The Illustrated Principles of Pool and Billiards, Sterling, 2004.
12. W. Leckie and M. Greenspan, "Pool Physics Simulation by Event Prediction 2: Collisions," Int'l Computer Games Assoc. J., Mar. 2006, pp. 24–31.
13. M. Greenspan, "Pickpocket Wins Pool Tournament," Int'l Computer Games Assoc. J., Sept. 2006, pp. 153–156.
14. W. Leckie and M. Greenspan, "Pool Physics Simulation by Event Prediction 1: Motion Transitions," Int'l Computer Games Assoc. J., Dec. 2005, pp. 214–222.
15. W. Leckie and M. Greenspan, "Monte-Carlo Methods in Pool Strategy Game Trees," Proc. 5th Int'l Conf. Computers and Games (CG 06), LNCS 4630, Springer, 2007.
16. M. Smith, "PickPocket: A Computer Billiards Shark," Artificial Intelligence, Nov. 2007, pp. 1069–1091.
35 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool