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Robot table tennis systems require a vision system that can track the ball position with low latency and high sampling rate.
Robocup: The robot world cup initiative
Y. Kuniyoshi I. Noda H. Kitano, M. Asada and E. Osawa · 1997
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Where are the ball and players? soccer game analysis with color-based tracking and image mosaick
H. Kim Y. Seo, S. Choi and K. Hong · 1997
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Ball tracking and virtual replays for innovative tennis broadcasts
A. Opalach G. Pingali and Y. Jean · 2000
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Deep blue
A.J. Hoane M. Campbell and F. Hsu · 2002
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An effective and fast soccer ball detection and tracking method
H. Lu X. Tong and Q. Liu · 2004
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Multiple view geometry
A. Heyden and M. Pollefeys · 2005
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Physics-based ball tracking and 3d trajectory reconstruction with applications to shooting location estimation in basketball video
Y. Chen W. Tsai H. Chen, M. Tien and S. Lee · 2009
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A biomimetic approach to robot table tennis
J. Kober K. Mülling and J. Peters · 2011
Cited alongside, same era.
Ping-pong robotics with high-speed vision system
L. Lou K. Kühnlenz H. Li, H. Wu and O. Ravn · 2012
Cited alongside, same era.
Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
C. Lampert and J. Peters · 2012
Cited alongside, same era.
Table tennis robot with stereo vision and humanoid manipulator ii: Visual measurement of motion-blurred ball
B. Wang Y. Zhou H. Liu, Z. Li and Q. Zhang · 2013
Cited alongside, same era.
Learning to select and generalize striking movements in robot table tennis
O. Kroemer K. Mülling, J. Kober and J. Peters · 2013
Cited alongside, same era.
A robust vision module for humanoid robotic ping-pong game
W. Wan M. Zhou Z. Yu X. Chen, Q. Huang et al · 2015
Mastering the game of go with deep neural networks and tree search
C. Maddison D. Silver, A. Huang et al · 2016
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Using probabilistic movement primitives for striking movements
B. Schölkopf Gomez-Gonzalez S., G. Neumann and J. Peters · 2016
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Ssd: Single shot multibox detector
D. Erhan C. Szegedy S. Reed C. Fu W. Liu, D. Anguelov and A. Berg · 2016
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
B. Chen D. Kalenichenko A. Howard, M. Zhu et al · 2017
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Speed/accuracy trade-offs for modern convolutional object detectors
C. Sun M. Zhu J. Huang, V. Rathod et al · 2017
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Full-resolution residual networks for semantic segmentation in street scenes
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Cited alongside, same era.
Learning optimal striking points for a ping-pong playing robot
B. Scholkopf Y. Huang and J. Peters · 2015
Cited alongside, same era.
https://gitlab.tuebingen.mpg.de/sgomez/ball_tracking
Open source implementation of the ball tracking system
Cited in the paper.
M. Mathias T. Pohlen, A. Hermans and B. Leibe · 2017
Later among the works it cites.
Adaptation and robust learning of probabilistic movement primitives
S. Gomez-Gonzalez, G. Neumann, B. Schölkopf, and J. Peters · 2018
Later among the works it cites.