On-line and on-board planning and perception for quadrupedal locomotion
Not on the map. Why?
Abstract (arXiv)
We present a legged motion planning approach for quadrupedal locomotion over challenging terrain. We decompose the problem into body action planning and footstep planning. We use a lattice representation together with a set of defined body movement primitives for computing a body action plan. The lattice representation allows us to plan versatile movements that ensure feasibility for every possible plan. To this end, we propose a set of rules that define the footstep search regions and footstep sequence given a body action. We use Anytime Repairing A* (ARA*) search that guarantees bounded suboptimal plans. Our main contribution is a planning approach that generates on-line versatile movements. Experimental trials demonstrate the performance of our planning approach in a set of challenging terrain conditions. The terrain information and plans are computed on-line and on-board.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Apr 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 1.
5 papers.
- 2022Legged Locomotion in Challenging Terrains using Egocentric Visioncited by 151
- 2023Robot Parkour Learningcited by 149
- 2021Coupling Vision and Proprioception for Navigation of Legged Robotscited by 51
- 2026Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoidscited by 13
- 2023DeepCPG Policies for Robot Locomotioncited by 4
- 2026Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids12 Jan 2026
- 2023Robot Parkour Learning11 Sep 2023
- 2023DeepCPG Policies for Robot Locomotion25 Feb 2023
- 2022Legged Locomotion in Challenging Terrains using Egocentric Vision14 Nov 2022
- 2021Coupling Vision and Proprioception for Navigation of Legged Robots3 Dec 2021