Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds
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Abstract (arXiv)
In this work we present a whole-body Nonlinear Model Predictive Control approach for Rigid Body Systems subject to contacts. We use a full dynamic system model which also includes explicit contact dynamics. Therefore, contact locations, sequences and timings are not prespecified but optimized by the solver. Yet, thorough numerical and software engineering allows for running the nonlinear Optimal Control solver at rates up to 190 Hz on a quadruped for a time horizon of half a second. This outperforms the state of the art by at least one order of magnitude. Hardware experiments in form of periodic and non-periodic tasks are applied to two quadrupeds with different actuation systems. The obtained results underline the performance, transferability and robustness of the approach.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Dec 2017.
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Citing papers per year: 2021: 1; 2022: 5; 2023: 3; 2024: 1; 2025: 4; 2026: 1.
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- 2023Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learningcited by 72
- 2022Advanced Skills by Learning Locomotion and Local Navigation End-to-Endcited by 39
- 2024Learning Quadruped Locomotion Using Differentiable Simulationcited by 22
- 2025Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimizationcited by 20
- 2022Stability Verification of Neural Network Controllers using Mixed-Integer Programmingcited by 10
- 2022Agile Maneuvers in Legged Robots: a Predictive Control Approachcited by 6
- 2022CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimalitycited by 6
- 2023Identifying Important Sensory Feedback for Learning Locomotion Skillscited by 4
- 2021Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learningcited by 2
- 2022Robust Contact State Estimation in Humanoid Walking Gaitscited by 1
- 2023Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representationcited by 1
- 2025Flexible Locomotion Learning with Diffusion Model Predictive Controlcited by 1
- 2026Energy-Efficient Quadruped Locomotion with Compliant Feet14 May 2026
- 2025Flexible Locomotion Learning with Diffusion Model Predictive Control5 Oct 2025
- 2025Adaptive MPC-based quadrupedal robot control under periodic disturbances18 May 2025
- 2025Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization27 Feb 2025
- 2025SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning18 Feb 2025
- 2024Learning Quadruped Locomotion Using Differentiable Simulation21 Mar 2024
- 2023Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning17 Oct 2023
- 2023Identifying Important Sensory Feedback for Learning Locomotion Skills29 Jun 2023
- 2023Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation14 Jun 2023
- 2022CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimality12 Nov 2022
- 2022Advanced Skills by Learning Locomotion and Local Navigation End-to-End26 Sep 2022
- 2022Robust Contact State Estimation in Humanoid Walking Gaits30 Jul 2022
- 2023Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learningcited by 72
- 2022Advanced Skills by Learning Locomotion and Local Navigation End-to-Endcited by 39
- 2024Learning Quadruped Locomotion Using Differentiable Simulationcited by 22
- 2025Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimizationcited by 20
- 2022Stability Verification of Neural Network Controllers using Mixed-Integer Programmingcited by 10
- 2022Agile Maneuvers in Legged Robots: a Predictive Control Approachcited by 6
- 2022CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimalitycited by 6
- 2023Identifying Important Sensory Feedback for Learning Locomotion Skillscited by 4
- 2021Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learningcited by 2
- 2022Robust Contact State Estimation in Humanoid Walking Gaitscited by 1
- 2023Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representationcited by 1
- 2025SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learningcited by 0
12 most cited of 14 All 14 (JSON)
- 2026Energy-Efficient Quadruped Locomotion with Compliant Feet14 May 2026
- 2025Adaptive MPC-based quadrupedal robot control under periodic disturbances18 May 2025
- 2025Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization27 Feb 2025
- 2025SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning18 Feb 2025
- 2024Learning Quadruped Locomotion Using Differentiable Simulation21 Mar 2024
- 2023Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning17 Oct 2023
- 2023Identifying Important Sensory Feedback for Learning Locomotion Skills29 Jun 2023
- 2023Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation14 Jun 2023
- 2022CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimality12 Nov 2022
- 2022Advanced Skills by Learning Locomotion and Local Navigation End-to-End26 Sep 2022
- 2022Robust Contact State Estimation in Humanoid Walking Gaits30 Jul 2022
- 2022Stability Verification of Neural Network Controllers using Mixed-Integer Programming27 Jun 2022
12 newest of 14 All 14 (JSON)