MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 2021)

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. - Isabell Wochner; Pierre Schumacher; Georg Martius; Dieter Büchler; Syn Schmitt; Daniel F. B. Haeufle (CoRL, 2022)

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. - Pierre Schumacher; Daniel F. B. Haeufle; Dieter Büchler; Syn Schmitt; Georg Martius (ICLR, 2023)

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. - Pierre Schumacher; Thomas Geijtenbeek; Vittorio Caggiano; Vikash Kumar; Syn Schmitt; Georg Martius; Daniel F. B. Haeufle (CoRR, 2023)

Investigating the Impact of Action Representations in Policy Gradient Algorithms. - Jan Schneider 007; Pierre Schumacher; Daniel F. B. Häufle; Bernhard Schölkopf; Dieter Büchler (CoRR, 2023)

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development. - Dominik Mattern; Pierre Schumacher; Francisco M. López; Marcel C. Raabe; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (CoRR, 2023)

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. - Jhon Charaja; Isabell Wochner; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Georg Martius; Daniel F. B. Haeufle (BioRob, 2024)

Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model. - Maria Sapounaki; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Daniel F. B. Haeufle; Isabell Wochner (BioRob, 2024)

Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware. - Pierre Schumacher; Lorenz Krause; Jan Schneider 007; Dieter Büchler; Georg Martius; Daniel F. B. Haeufle (BioRob, 2024)

Identifying Policy Gradient Subspaces. - Jan Schneider 007; Pierre Schumacher; Simon Guist; Le Chen; Daniel F. B. Haeufle; Bernhard Schölkopf; Dieter Büchler (ICLR, 2024)

Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology. - Pierre Schumacher; Lorenz Krause; Jan Schneider 007; Dieter Büchler; Georg Martius; Daniel F. B. Haeufle (CoRR, 2024)

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. - Jhon Charaja; Isabell Wochner; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Daniel F. B. Haeufle (CoRR, 2024)

MIMo: A Multimodal Infant Model for Studying Cognitive Development. - Dominik Mattern; Pierre Schumacher; Francisco M. López; Marcel C. Raabe; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2024)

Myoassist 0.1: Myosuite for Dexterity and Agility in Bionic Humans. - Chun Kwang Tan; Cheryl Wang; Shirui Lyu; Balint K. Hodossy; Pierre Schumacher; Elizabeth B. Wilson; Vittorio Caggiano; Vikash Kumar; Dario Farina; Letizia Gionfrida; Elliott J. Rouse; Guillaume Durandau; et al. (ICORR, 2025)

Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control. - Anselm Paulus; Andreas René Geist; Pierre Schumacher; Vít Musil; Georg Martius (CoRR, 2025)