Development of a table tennis robot for ball interception using visual feedback

Manukid Parnichkun; Janitha A. Thalagoda

doi:10.1117/12.2242780

11 July 2016 Development of a table tennis robot for ball interception using visual feedback

Manukid Parnichkun, Janitha A. Thalagoda

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110F (2016) https://doi.org/10.1117/12.2242780
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

Abstract

This paper presents a concept of intercepting a moving table tennis ball using a robot. The robot has four degrees of freedom(DOF) which are simplified in such a way that The system is able to perform the task within the bounded limit. It employs computer vision to localize the ball. For ball identification, Colour Based Threshold Segmentation(CBTS) and Background Subtraction(BS) methodologies are used. Coordinate Transformation(CT) is employed to transform the data, which is taken based on camera coordinate frame to the general coordinate frame. The sensory system consisted of two HD Web Cameras. The computation time of image processing from web cameras is long .it is not possible to intercept table tennis ball using only image processing. Therefore the projectile motion model is employed to predict the final destination of the ball.

Citation Download Citation

Manukid Parnichkun and Janitha A. Thalagoda "Development of a table tennis robot for ball interception using visual feedback", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110F (11 July 2016); https://doi.org/10.1117/12.2242780

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available