Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball
Trajectory Prediction with Spin and Impacts

v1v2 (latest)

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts

24 May 2023

Philip Tobuschat

Hao Ma

Dieter Buechler

Michael Muehlebach

Joerg Stueckler

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Papers citing "Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts"

14 / 14 papers shown

Title
Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations Qingyu Xiao Zixuan Wu Matthew C. Gombolay 146 1 0 24 Feb 2025
AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation Alexander Dittrich Jan Schneider-Barnes Simon Guist Nico Gürtler Heiko Ott Thomas Steinbrenner Bernhard Schölkopf Le Chen 27 4 0 12 Oct 2022
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 86 219 0 28 Aug 2020
Real Time Trajectory Prediction Using Deep Conditional Generative Models S. Gómez-González Sergey Prokudin Bernhard Schölkopf Jan Peters DRL AI4CE 22 40 0 09 Sep 2019
Reliable Real Time Ball Tracking for Robot Table Tennis S. Gómez-González Yassine Nemmour Bernhard Schölkopf Jan Peters 25 34 0 20 Aug 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 63 97 0 17 May 2019
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots Le Chen Roberto Calandra Jan Peters 50 19 0 07 Apr 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,437 0 12 Nov 2018
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 71 283 0 16 Oct 2017
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 117 398 0 24 May 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 53 375 0 20 May 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 90 1,259 0 07 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 251 6,779 0 03 Sep 2014