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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/18866

Title: Ball positioning in robotic billiards: a nonprehensile manipulation-based solution
Authors: Mathavan, Senthan
Jackson, Michael R.
Parkin, Robert M.
Keywords: Object tracking
Game-playing robots
Nonprehensile manipulation
Computer vision
Manipulators
Impact dynamics
intelligent robots
Educational robots
Issue Date: 2015
Publisher: © IEEE
Citation: MATHAVAN, S., JACKSON, M.R. and PARKIN, R.M., 2015. Ball positioning in robotic billiards: a nonprehensile manipulation-based solution. IEEE/ASME Transactions on Mechatronics, IN PRESS.
Abstract: The last two decades have seen a number of developments in creating robots to play billiards. The designed robotic systems have successfully incorporated the kinematics required and have had appropriate machine vision elements for a decent gameplay. Independently, computer scientists have also developed the artificial intelligence programs needed for the strategy to play billiards. Despite these developments, the accurate ball manipulation aspect of the game, needed for good performance, has not been addressed enough; two important parameters are the potting accuracy and advantageous cue ball positioning for next shot. In this regard, robotic ball manipulation by predicting the ball trajectories under the action of various dynamic phenomena, such as ball spin, impacts and friction, is the key consideration of this research. By establishing a connection to the methods used in nonprehensile robotic manipulation, a forward model is developed for the rolling, sliding and two distinct types of frictional impacts of billiards balls are developed. High-speed camera based tracking is performed to determine the physical parameters required for the developed dynamic models. To solve the inverse manipulation problem, i.e. the decision on shot parameters, for accurate ball positioning, an optimization based solution is proposed. A simplistic ball manipulator is designed and used to test the theoretical developments. Experimental results show that a 90% potting accuracy and a 100–200 mm post-shot cue ball positioning accuracy has been achieved by the autonomous system within a table area of 6 × 5 ft2.
Description: This paper was accepted for publication in the journal IEEE/ASME Transactions on Mechatronics and the definitive published version is available at: http://dx.doi.org/10.1109/TMECH.2015.2461547.
Version: Published
DOI: 10.1109/TMECH.2015.2461547
URI: https://dspace.lboro.ac.uk/2134/18866
Publisher Link: http://dx.doi.org/10.1109/TMECH.2015.2461547
ISSN: 1083-4435
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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