Passive Whole-body Control for Quadruped Robots: Experimental Validation over Challenging Terrain
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Abstract (arXiv)
We present experimental results using a passive whole-body control approach for quadruped robots that achieves dynamic locomotion while compliantly balancing the robot's trunk. We formulate the motion tracking as a Quadratic Program (QP) that takes into account the full robot rigid body dynamics, the actuation limits, the joint limits and the contact interaction. We analyze the controller's robustness against inaccurate friction coefficient estimates and unstable footholds, as well as its capability to redistribute the load as a consequence of enforcing actuation limits. Additionally, we present practical implementation details gained from the experience with the real platform. Extensive experimental trials on the 90 kg Hydraulically actuated Quadruped (HyQ) robot validate the capabilities of this controller under various terrain conditions and gaits. The proposed approach is superior for accurate execution of highly dynamic motions with respect to the current state of the art.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Nov 2018.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2021Fast and Efficient Locomotion via Learned Gait Transitionscited by 54
- 2022Agile Maneuvers in Legged Robots: a Predictive Control Approachcited by 8
- 2024Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learningcited by 0
- 2026Bicycle Acrobatics with Reinforcement Learningcited by 0
- 2026Bicycle Acrobatics with Reinforcement Learning1 Aug 2026
- 2024Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning11 Jun 2024
- 2022Agile Maneuvers in Legged Robots: a Predictive Control Approach14 Mar 2022
- 2021Fast and Efficient Locomotion via Learned Gait Transitions9 Apr 2021