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Learning Human-like Hand Reaching for Human-Robot Handshaking


Feb 28, 2021
Vignesh Prasad, Ruth Stock-Homburg, Jan Peters

* Pre-print version. Accepted for Publication at ICRA'21 

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A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning


Feb 25, 2021
Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen


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Human-Robot Handshaking: A Review


Feb 14, 2021
Vignesh Prasad, Ruth Stock-Homburg, Jan Peters

* Pre-print version. Accepted for publication in the International Journal of Social Robotics 

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Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems


Dec 11, 2020
Julen Urain, Davide Tateo, Tianyu Ren, Jan Peters

* Presented in NeurIPS 2020, 3rd Robot Learning Workshop. Stability, Few-Shot Learning, Deep Dynamic Systems 

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Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop


Dec 07, 2020
Sebastian Höfer, Kostas Bekris, Ankur Handa, Juan Camilo Gamboa, Florian Golemo, Melissa Mozifian, Chris Atkeson, Dieter Fox, Ken Goldberg, John Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White

* Summary of the "2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics" held in conjunction with "Robotics: Science and System 2020". Website: https://sim2real.github.io/ 

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Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning


Nov 13, 2020
Riad Akrour, Asma Atamna, Jan Peters


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A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning


Nov 10, 2020
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters


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Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning


Nov 03, 2020
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters


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High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards


Oct 31, 2020
Kai Ploeger, Michael Lutter, Jan Peters

* Published at Conference on Robot Learning (CoRL) 2020 

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Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient


Oct 29, 2020
Samuele Tosatto, João Carvalho, Jan Peters

* arXiv admin note: substantial text overlap with arXiv:2001.02435 

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Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills


Oct 26, 2020
Samuele Tosatto, Georgia Chalvatzaki, Jan Peters


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ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows


Oct 25, 2020
Julen Urain, Michelle Ginesi, Davide Tateo, Jan Peters

* 7pages, 7 figures, IROS 2020 

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A Differentiable Newton Euler Algorithm for Multi-body Model Learning


Oct 19, 2020
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters

* ICML 2020 Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning 

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Differentiable Implicit Layers


Oct 14, 2020
Andreas Look, Simona Doneva, Melih Kandemir, Rainer Gemulla, Jan Peters


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Active Inference or Control as Inference? A Unifying View


Oct 01, 2020
Joe Watson, Abraham Imohiosen, Jan Peters

* International Workshop on Active Inference 2020 (IWAI) 

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Advances in Human-Robot Handshaking


Aug 26, 2020
Vignesh Prasad, Ruth Stock-Homburg, Jan Peters

* Accepted at The 12th International Conference on Social Robotics (ICSR 2020) 12 Pages, 1 Figure 

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Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides


Aug 12, 2020
Marco Ewerton, Oleg Arenz, Jan Peters

* Advanced Robotics, 2020 
* 19 pages, 9 figures 

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Model-Based Quality-Diversity Search for Efficient Robot Learning


Aug 11, 2020
Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters

* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 

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Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization


Jul 04, 2020
Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop

* 8 pages, 7 figures. Accepted for publication in IEEE Robotics and Automation Letters 

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Convex Regularization in Monte-Carlo Tree Search


Jul 01, 2020
Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen


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Deterministic Inference of Neural Stochastic Differential Equations


Jun 16, 2020
Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir


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Learning to Play Table Tennis From Scratch using Muscular Robots


Jun 10, 2020
Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters

* 11 pages, 8 figures. Submitted to T-RO. For more information visit https://muscularTT.embodied.ml 

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Reinforcement Learning from a Mixture of Interpretable Experts


Jun 10, 2020
Riad Akrour, Davide Tateo, Jan Peters

* 20 pages, 6 figures 

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Orientation Attentive Robot Grasp Synthesis


Jun 09, 2020
Nikolaos Gkanatsios, Georgia Chalvatzaki, Petros Maragos, Jan Peters

* 8 pages, 5 figures 

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Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation


May 12, 2020
Hany Abdulsamad, Jan Peters

* 2nd Annual Conference on Learning for Dynamics and Control 

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Self-Paced Deep Reinforcement Learning


May 06, 2020
Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen


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