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Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control

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arxiv 1909.06586 v1 pith:TCL6SBY5 submitted 2019-09-14 cs.RO

classification cs.RO
keywords controlcontrollerdynamiclocomotionmodelreactionaerialdifferent
verification ladder T0 review T1 audit T2 compute T3 formal
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Dynamic legged locomotion is a challenging topic because of the lack of established control schemes which can handle aerial phases, short stance times, and high-speed leg swings. In this paper, we propose a controller combining whole-body control (WBC) and model predictive control (MPC). In our framework, MPC finds an optimal reaction force profile over a longer time horizon with a simple model, and WBC computes joint torque, position, and velocity commands based on the reaction forces computed from MPC. Unlike existing WBCs, which attempt to track commanded body trajectories, our controller is focused more on the reaction force command, which allows it to accomplish high speed dynamic locomotion with aerial phases. The newly devised WBC is integrated with MPC and tested on the Mini-Cheetah quadruped robot. To demonstrate the robustness and versatility, the controller is tested on six different gaits in a number of different environments, including outdoors and on a treadmill, reaching a top speed of 3.7 m/s.

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Cited by 13 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. High-speed control and navigation for quadrupedal robots on complex and discrete terrain

    cs.RO 2025-06 conditional novelty 7.0 of 10

    A hierarchical planner-plus-tracker system enables a quadruped to run on walls, clear a 1.3 m gap, and navigate discrete terrain at up to 4 m/s using a competitive generative curriculum.

  2. PAKE: Learning Whole-Body Loco-Manipulation with Partial Kinematic Embeddings

    cs.RO 2026-07 conditional novelty 6.0 of 10

    A hierarchical controller using a kinematic normalizing flow for partial inverse-kinematics redundancy plus low-level imitation yields 4.5 cm / 0.14 rad end-effector tracking while walking on a real quadruped-arm platform.

  3. ADP: Adversarial Dynamics Priors for Physically Grounded Humanoid Locomotion

    cs.RO 2026-07 conditional novelty 6.0 of 10

    Replacing adversarial motion-prior features with trajectory-optimization-derived dynamics features improves a humanoid policy's push recovery in simulation (J80 +16.7%, recovery time -47.9% vs AMP).

  4. Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer

    cs.RO 2025-12 conditional novelty 6.0 of 10

    A model-homotopy curriculum that gradually redistributes mass and inertia from a single-rigid-body model to full-body dynamics lets a quadruped learn flips and wall-assisted maneuvers faster and more stably than direc...

  5. Whole-Body Constrained Learning for Legged Locomotion via Hierarchical Optimization

    cs.RO 2025-06 conditional novelty 6.0 of 10

    A constrained whole-body follower enforces hard and soft safety limits on top of RL-generated joint trajectories, improving hexapod locomotion safety without retraining.

  6. Real-time Whole-body Model Predictive Control for Bipedal Locomotion with a Novel Kino-dynamic Model and Warm-start Method

    cs.RO 2025-05 conditional novelty 6.0 of 10

    A ZMP-based pendulum-plus-full-body-kinematics model with an MLP warm-start runs whole-body MPC for bipedal walking in under 17 ms and survives pushes in simulation and on the TOCABI humanoid.

  7. KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion

    cs.RO 2025-09 conditional novelty 5.0 of 10

    A quadruped locomotion controller that explicitly separates proprioceptive and visual pathways stays stable under camera occlusion and visual corruption that destabilizes fused-vision policies.

  8. Physically-Feasible Reactive Synthesis for Terrain-Adaptive Locomotion

    cs.RO 2025-09 conditional novelty 5.0 of 10

    A quadruped locomotion planner combines reactive synthesis with mixed-integer convex optimization to generate and repair terrain-adaptive gaits, with hardware demonstrations on stepping stones and rebar.

  9. Koopman Operator Based Linear Model Predictive Control for Quadruped Trotting

    cs.RO 2025-07 conditional novelty 5.0 of 10

    A Koopman-operator linear model of a quadruped's single-rigid-body dynamics is used in a linear model predictive controller that tracks speeds and rejects pushes on a Unitree Go1.

  10. Refining Motion for Peak Performance: Identifying Optimal Gait Parameters for Energy-Efficient Quadrupedal Bounding

    cs.RO 2025-07 conditional novelty 5.0 of 10

    For the Unitree A1 bounding gait, simulation shows duty factor near 0.22 to 0.30 and longer stride durations minimize cost of transport, with hardware tests at 0.5 m/s only partially matching.

  11. McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion

    cs.RO 2025-05 conditional novelty 5.0 of 10

    A morphology-conditioned PPO policy trained only on the Unitree Go1 transfers zero-shot in simulation to Go2, A1 and Mini Cheetah, with the best variant reaching 3.5 m/s on the Go2.

  12. Ground-Aware Octree-A* Hybrid Path Planning for Memory-Efficient 3D Navigation of Ground Vehicles

    cs.RO 2025-09 conditional novelty 3.0 of 10

    An A*-on-octree planner with a height penalty plans ground-hugging 3D routes for ground vehicles in two simulations using under a tenth of the memory and computation time of uniform-grid A*, at nearly equal path length.

  13. Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    cs.RO 2025-06 conditional novelty 2.0 of 10

    A position paper arguing that hybrid neuro-symbolic architectures combining physics, Bayesian inference, and program synthesis are essential for general-purpose robot learning.

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