Motion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control
Not on the map. Why?
Abstract (arXiv)
Planning whole-body motions while taking into account the terrain conditions is a challenging problem for legged robots since the terrain model might produce many local minima. Our coupled planning method uses stochastic and derivatives-free search to plan both foothold locations and horizontal motions due to the local minima produced by the terrain model. It jointly optimizes body motion, step duration and foothold selection, and it models the terrain as a cost-map. Due to the novel attitude planning method, the horizontal motion plans can be applied to various terrain conditions. The attitude planner ensures the robot stability by imposing limits to the angular acceleration. Our whole-body controller tracks compliantly trunk motions while avoiding slippage, as well as kinematic and torque limits. Despite the use of a simplified model, which is restricted to flat terrain, our approach shows remarkable capability to deal with a wide range of non-coplanar terrains. The results are validated by experimental trials and comparative evaluations in a series of terrains of progressively increasing complexity.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Mar 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 1; 2025: 1; 2026: 3.
10 papers.
- 2023DTC: Deep Tracking Controlcited by 37
- 2025BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholdscited by 32
- 2021GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Modelcited by 23
- 2023RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotioncited by 14
- 2026Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoidscited by 11
- 2024Morphological Symmetries in Roboticscited by 9
- 2021Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstaclescited by 6
- 2022Agile Maneuvers in Legged Robots: a Predictive Control Approachcited by 6
- 2026TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPUcited by 2
- 2026Mind Your Steps: A General Learning Framework for Accurate Humanoid Foothold Trackingcited by 0
- 2026TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU23 Jun 2026
- 2026Mind Your Steps: A General Learning Framework for Accurate Humanoid Foothold Tracking6 Jun 2026
- 2026Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids12 Jan 2026
- 2025BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds14 Feb 2025
- 2024Morphological Symmetries in Robotics23 Feb 2024
- 2023DTC: Deep Tracking Control27 Sep 2023
- 2023RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion29 May 2023
- 2022Agile Maneuvers in Legged Robots: a Predictive Control Approach14 Mar 2022
- 2021Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles1 Jul 2021
- 2021GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model20 Apr 2021