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Emperical Interference

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Modern Magnetic Systems

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Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

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Robot Learning

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2022

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Movement Generation and Control Article On the use of simulation in robotics: Opportunities challenges, and suggestions for moving forward Choi, H., Crump, C., Duriez, C., Elmquist, A., Hager, G., Han, D., Hearl, F., Hodgins, J., Jain, A., Leve, F., et al. PNAS, 118(1), December 2020 (Published) DOI BibTeX
Empirical Inference Autonomous Motion Movement Generation and Control Conference Paper TriFinger: An Open-Source Robot for Learning Dexterity Wüthrich, M., Widmaier, F., Grimminger, F., Akpo, J., Joshi, S., Agrawal, V., Hammoud, B., Khadiv, M., Bogdanovic, M., Berenz, V., et al. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:1871-1882, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) PDF URL BibTeX
Movement Generation and Control Conference Paper Enabling Remote Whole-Body Control with 5G Edge Computing Zhu, H., Sharma, M., Pfeiffer, K., Mezzavilla, M., Shen, J., Rangan, S., Righetti, L. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :3553-3560, IEEE, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2020, Accepted (Accepted) DOI URL BibTeX
Movement Generation and Control Article Learning Variable Impedance Control for Contact Sensitive Tasks Bogdanovic, M., Khadiv, M., Righetti, L. IEEE Robotics and Automation Letters, 5(4), IEEE, October 2020 (Published) DOI BibTeX
Movement Generation and Control Article Walking Control Based on Step Timing Adaptation Khadiv, M., Herzog, A., Moosavian, S. A. A., Righetti, L. IEEE Transactions on Robotics, 36(3):629-643, IEEE, June 2020 (Published) DOI URL BibTeX
Movement Generation and Control Conference Paper Crocoddyl: An efficient and versatile framework for multi-contact optimal control Mastalli, C., Budhiraja, R., Merkt, W., Saurel, G., Hammoud, B., Naveau, M., Carpentier, J., Righetti, L., Vijayakumar, S., Mansard, N. In Proceedings of the IEEE International Conference on Robotics and Automation, IEEE, International Conference on Robotics and Automation, May 2020 (Published) BibTeX
Movement Generation and Control Conference Paper Curious ilqr: Resolving uncertainty in model-based rl Bechtle, S., Lin, Y., Rai, A., Righetti, L., Meier, F. Conference on Robot Learning, May 2020 (Published) BibTeX
Dynamic Locomotion Movement Generation and Control Autonomous Motion Empirical Inference Robotics Article An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research Grimminger, F., Meduri, A., Khadiv, M., Viereck, J., Wüthrich, M., Naveau, M., Berenz, V., Heim, S., Widmaier, F., Flayols, T., et al. IEEE Robotics and Automation Letters, 5(2):3650-3657, IEEE, April 2020 (Published) Youtube Open Dynamic Robot Initiative DOI URL BibTeX
Movement Generation and Control Article Robust Humanoid Contact Planning with Learned Zero-and One-Step Capturability Prediction Lin, Y., Righetti, L., Berenson, D. IEEE Robotics and Automation Letters, Robotics and Automation Letters, 5:2451-2458, IEEE, February 2020 (Published) BibTeX
Empirical Inference Autonomous Learning Autonomous Motion Movement Generation and Control Conference Paper A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models Agudelo-España, D., Zadaianchuk, A., Wenk, P., Garg, A., Akpo, J., Grimminger, F., Viereck, J., Naveau, M., Righetti, L., Martius, G., et al. IEEE International Conference on Robotics and Automation (ICRA), :8151-8157, IEEE, 2020 (Published) Project Page PDF DOI BibTeX
Movement Generation and Control Conference Paper EXPLORING BY EXPLOITING BAD MODELS IN MODEL-BASED REINFORCEMENT LEARNING Lin, Y., Bechtle, S., Righetti, L., Rai, A., Meier, F. International Conference on Learning Representations, 2020 (Published) BibTeX