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Learning to Control Highly Accelerated Ballistic Movements on Muscular
  Robots

Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots

7 April 2019
Le Chen
Roberto Calandra
Jan Peters
ArXivPDFHTML

Papers citing "Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots"

4 / 4 papers shown
Title
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball
  Trajectory Prediction with Spin and Impacts
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold
Philip Tobuschat
Hao Ma
Dieter Buechler
Michael Muehlebach
Joerg Stueckler
14
6
0
24 May 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient
  Reinforcement Learning
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
Simon Guist
Jan Schneider-Barnes
Alexander Dittrich
V. Berenz
Bernhard Schölkopf
Le Chen
29
3
0
03 Mar 2023
Robust walking based on MPC with viability guarantees
Robust walking based on MPC with viability guarantees
Mohammad Hasan Yeganegi
Majid Khadiv
Andrea Del Prete
S. A. A. Moosavian
Ludovic Righetti
19
25
0
09 Oct 2020
Learning to Play Table Tennis From Scratch using Muscular Robots
Learning to Play Table Tennis From Scratch using Muscular Robots
Le Chen
Simon Guist
Roberto Calandra
V. Berenz
Bernhard Schölkopf
Jan Peters
17
88
0
10 Jun 2020
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