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DEPARTMENTS
Emperical Interference
Haptic Intelligence
Modern Magnetic Systems
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
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
Probabilistic Learning Group
Topics
Robot Learning
Conference Paper
2022
Autonomous Learning
Robotics
AI
Career
Award
Empirical Inference
Movement Generation and Control
Conference Paper
On the Use of Torque Measurement in Centroidal State Estimation
Khorshidi, S., Gazar, A., Rotella, N., Naveau, M., Righetti, L., Bennewitz, M., Khadiv, M.
IEEE International Conference on Robotics and Automation (ICRA), :9931-9937, May 2023 (Published)
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Movement Generation and Control
Empirical Inference
Autonomous Motion
Article
BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning
Meduri, A., Shah, P., Viereck, J., Khadiv, M., Havoutis, I., Righetti, L.
IEEE Transactions on Robotics, 39(2):905-922, IEEE, 2023 (Published)
DOI
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Embodied Vision
Autonomous Motion
Movement Generation and Control
Conference Paper
Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion
Dhédin, V., Li, H., Khorshidi, S., Mack, L., Ravi, A. K. C., Meduri, A., Shah, P., Grimminger, F., Righetti, L., Khadiv, M., et al.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2023 (Published)
preprint
video
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Movement Generation and Control
Conference Paper
Introducing Force Feedback in Model Predictive Control
Kleff, E. D. E. S. G. M. N. R. L.
Proceedings of the 2022 International Conference on Intelligent Robots and Systems (IROS), :13379-13385, IEEE, International Conference on Intelligent Robots and Systems (IROS), October 2022 (Published)
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Movement Generation and Control
Conference Paper
Nonlinear Stochastic Trajectory Optimization for Centroidal Momentum Motion Generation of Legged Robots
Gazar, A., Khadiv, M., Kleff, S., DelPrete, A., Righetti, L.
In Robotics Research, :420-435, Springer Proceedings in Advanced Robotics, 27, (Editors: Billard, Aude and Asfour, Tamim and Khatib, Oussama), Springer, Cham, 20th International Symposium on Robotics Research (ISRR 2022), September 2022 (Published)
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Movement Generation and Control
Empirical Inference
Article
Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization
Bogdanovic, M., Khadiv, M., Righetti, L.
Frontiers in Robotics and AI, 9, August 2022 (Published)
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Movement Generation and Control
Conference Paper
iRiSC: Iterative Risk Sensitive Control for Nonlinear Systems with Imperfect Observations
Hammoud, B., Jordana, A., Righetti, L.
In 2022 American Control Conference (ACC 2022), :3550-3557, IEEE, Piscataway, NJ, American Control Conference (ACC 2022), June 2022 (Published)
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Movement Generation and Control
Article
Stagewise Newton Method for Dynamic Game Control With Imperfect State Observation
Jordana, A., Hammoud, B., Carpentier, J., Righetti, L.
IEEE Control Systems Letters, 6:3241-3246, IEEE, Piscataway, NJ, USA, 2022 (Published)
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Movement Generation and Control
Conference Paper
A unified framework for walking and running of bipedal robots
Boroujeni, M. G., Daneshmand, E., Righetti, L., Khadiv, M.
20th International Conference on Advanced Robotics (ICAR), December 2021, Accepted (Accepted)
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Movement Generation and Control
Article
Robust walking based on MPC with viability guarantees
Yeganegi, M. H., Khadiv, M., Prete, A. D., Moosavian, S. A. A., Righetti, L.
IEEE Transactions on Robotics, October 2021, Accepted (Accepted)
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Empirical Inference
Software Workshop
Movement Generation and Control
Article
The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes
Berenz, V., Naveau, M., Widmaier, F., Wüthrich, M., Passy, J., Guist, S., Büchler, D.
Journal of Open Source Software, 6(66), October 2021 (Published)
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Movement Generation and Control
Conference Paper
Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent
Shah, P., Meduri, A., Merkt, W., Khadiv, M., Havoutis, I., Righetti, L.
In Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021) , IEEE, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) in Prague, Czech Republic., September 2021, Accepted (Accepted)
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Movement Generation and Control
Article
Impedance Optimization for Uncertain Contact Interactions Through Risk Sensitive Optimal Control
Hammoud, B., Khadiv, M., Righetti, L.
IEEE Robotics and Automation Letters, Robotics and Automation Letters, 6(3):4766-4773, IEEE, July 2021 (Published)
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Movement Generation and Control
Conference Paper
Stochastic and robust mpc for bipedal locomotion: A comparative study on robustness and performance
Gazar, A., Khadiv, M., DelPrete, A., Righetti, L.
:1-8, IEEE, IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids), July 2021 (Published)
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Movement Generation and Control
Conference Paper
DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain
Meduri, A., Khadiv, M., Righetti, L.
The 2021 International Conference on Robotics and Automation (ICRA 2021), June 2021 (Published)
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Movement Generation and Control
Conference Paper
High-frequency nonlinear model predictive control of a manipulator
Kleff, S., Meduri, A., Budhiraja, R., Mansard, N., Righetti, L.
In 2021 IEEE International Conference on Robotics and Automation (ICRA), :7330-7336 , The 2021 International Conference on Robotics and Automation (ICRA 2021), June 2021 (Published)
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Movement Generation and Control
Conference Paper
Learning a Centroidal Motion Planner for Legged Locomotion
Viereck, J., Righetti, L.
2021 IEEE International Conference on Robotics and Automation (ICRA), :4905-4911 , IEEE, The 2021 International Conference on Robotics and Automation (ICRA 2021), June 2021 (Published)
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Movement Generation and Control
Conference Paper
Leveraging Forward Model Prediction Error for Learning Control
Bechtle, S., Hammoud, B., Rai, A., Meier, F., Righetti, L.
2021 IEEE International Conference on Robotics and Automation (ICRA) , :4445-4451 , IEEE International Conference on Robotics and Automation (ICRA 2021), June 2021 (Published)
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Movement Generation and Control
Article
Variable Horizon MPC with Swing Foot Dynamics for Bipedal Walking Control
Daneshmand, E., Khadiv, M., Grimminger, F., Righetti, L.
IEEE Robotics and Automation Letters, 6(2):2349-2356, April 2021 (Published)
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Movement Generation and Control
Article
Efficient Multi-Contact Pattern Generation with Sequential Convex Approximations of the Centroidal Dynamics
Ponton, B., Khadiv, M., Meduri, A., Righetti, L.
IEEE Transactions on Robotics, 37(5):1661-1679, IEEE, February 2021 (Published)
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Intelligent Control Systems
Movement Generation and Control
Probabilistic Numerics
Empirical Inference
Article
Robot Learning with Crash Constraints
Marco, A., Baumann, D., Khadiv, M., Hennig, P., Righetti, L., Trimpe, S.
IEEE Robotics and Automation Letters, 6(2):1439-1446, IEEE, February 2021 (Published)
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Movement Generation and Control
Conference Paper
Meta-Learning via Learned Loss
Bechtle, S., Molchanov, A., Chebotar, Y., Grefenstette, E., Righetti, L., Sukhatme, G., Meier, F.
In 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, January 2021 (Published)
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Movement Generation and Control
Article
Reactive Balance Control for Legged Robots under Visco-Elastic Contacts
Flayols, T., Prete, A. D., Khadiv, M., Mansard, N., Righetti, L.
Applied Sciences, 11(1), MDPI, 2021 (Published)
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Movement Generation and Control
Article
Jerk Control of Floating Base Systems With Contact-Stable Parameterized Force Feedback
Gazar, A., Nava, G., Chavez, F. J. A., Pucci, D.
IEEE Transactions on Robotics, 37(1):1-15, IEEE, 2021 (Published)
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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)
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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)
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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)
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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)
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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)
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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)
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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
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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
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DOI
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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)
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Movement Generation and Control
Article
Epstein, Project Maven, and Some Reasons to Think About Where We Get Our Funding [Ethical, Legal, and Societal Issues]
Bretl, T., Righetti, L., Madhavan, R.
IEEE Robotics & Automation Magazine, 26, December 2019 ()
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Movement Generation and Control
Conference Paper
Learning to Explore in Motion and Interaction Tasks
Bogdanovic, M., Righetti, L.
Proceedings 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :2686-2692, IEEE, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2019, ISSN: 2153-0866 (Published)
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Movement Generation and Control
Conference Paper
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning
Yeganegi, M. H., Khadiv, M., Moosavian, S. A. A., Zhu, J., Prete, A. D., Righetti, L.
Proceedings International Conference on Humanoid Robots, IEEE, 2019 IEEE-RAS International Conference on Humanoid Robots, October 2019 (Published)
https://arxiv.org/abs/1907.04616
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Movement Generation and Control
Article
Unintended Consequences of Biased Robotic and Artificial Intelligence Systems [Ethical, Legal, and Societal Issues]
Righetti, L., Madhavan, R., Chatila, R.
IEEE Robotics & Automation Magazine, 26, September 2019 (Published)
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Movement Generation and Control
Conference Paper
Efficient Humanoid Contact Planning using Learned Centroidal Dynamics Prediction
Lin, Y., Ponton, B., Righetti, L., Berenson, D.
International Conference on Robotics and Automation (ICRA), :5280-5286, IEEE, May 2019 (Published)
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Autonomous Motion
Movement Generation and Control
Conference Paper
Leveraging Contact Forces for Learning to Grasp
Merzic, H., Bogdanovic, M., Kappler, D., Righetti, L., Bohg, J.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2019, IEEE, International Conference on Robotics and Automation, May 2019 ()
video
arXiv
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Movement Generation and Control
Article
Optimal Stair Climbing Pattern Generation for Humanoids Using Virtual Slope and Distributed Mass Model
Shahrokhshahi, A., Yousefi-Koma, A., Khadiv, M., Mansouri, S., Mohtasebi, S. S.
Journal of Intelligent and Robotics Systems, 94:1:43-59, April 2019 (Published)
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Movement Generation and Control
Article
A Robustness Analysis of Inverse Optimal Control of Bipedal Walking
Rebula, J. R., Schaal, S., Finley, J., Righetti, L.
IEEE Robotics and Automation Letters, 4(4):4531-4538, 2019 (Published)
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Movement Generation and Control
Article
Birch tar production does not prove Neanderthal behavioral complexity
Schmidt, P., Blessing, M., Rageot, M., Iovita, R., Pfleging, J., Nickel, K. G., Righetti, L., Tennie, C.
Proceedings of the National Academy of Sciences (PNAS), 116(36):17707-17711, 2019 (Published)
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Movement Generation and Control
Article
Rigid vs compliant contact: an experimental study on biped walking
Khadiv, M., Moosavian, S. A. A., Yousefi-Koma, A., Sadedel, M., Ehsani-Seresht, A., Mansouri, S.
Multibody System Dynamics, 45(4):379-401, 2019 (Published)
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Movement Generation and Control
Conference Paper
A Whole-Body Model Predictive Control Scheme Including External Contact Forces and CoM Height Variations
Mirjalili, R., Yousefi-koma, A., Shirazi, F. A., Nikkhah, A., Nazemi, F., Khadiv, M.
Proceedings International Conference on Humanoid Robots, IEEE, Beijing, China, 2018 IEEE-RAS International Conference on Humanoid Robots, November 2018 (Published)
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Perceiving Systems
Movement Generation and Control
Article
Robust Physics-based Motion Retargeting with Realistic Body Shapes
Borno, M. A., Righetti, L., Black, M. J., Delp, S. L., Fiume, E., Romero, J.
Computer Graphics Forum, 37:6:1-12, July 2018 ()
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Movement Generation and Control
Autonomous Motion
Conference Paper
An MPC Walking Framework With External Contact Forces
Mason, S., Rotella, N., Schaal, S., Righetti, L.
In 2018 IEEE International Conference on Robotics and Automation (ICRA), :1785-1790, IEEE, Brisbane, Australia, May 2018 ()
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Movement Generation and Control
Article
Learning a Structured Neural Network Policy for a Hopping Task.
Viereck, J., Kozolinsky, J., Herzog, A., Righetti, L.
IEEE Robotics and Automation Letters, 3(4):4092-4099, October 2018 ()
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Movement Generation and Control
Autonomous Motion
Conference Paper
Learning Task-Specific Dynamics to Improve Whole-Body Control
Gams, A., Mason, S., Ude, A., Schaal, S., Righetti, L.
In Hua, IEEE, Beijing, China, November 2018 ()
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