High-speed control and navigation for quadrupedal robots on complex and discrete terrain
Hyeongjun Kim, Hyunsik Oh, Jeongsoo Park, Yunho Kim, Donghoon Youm, Moonkyu Jung, Minho Lee, Jemin Hwangbo

TL;DR
This paper presents a hierarchical navigation system enabling a quadruped robot to traverse complex terrains at high speed, combining efficient planning with accurate tracking for dynamic and agile locomotion.
Contribution
It introduces a novel hierarchical pipeline with a sampling-based planner and a trained tracker, improving high-speed navigation on complex terrains for quadrupedal robots.
Findings
Raibo can run on vertical walls
Raibo jumps 1.3 meters across gaps
Raibo navigates terrains with ramps, stairs, and boxes at 4 m/s
Abstract
High-speed legged navigation in discrete and geometrically complex environments is a challenging task because of the high-degree-of-freedom dynamics and long-horizon, nonconvex nature of the optimization problem. In this work, we propose a hierarchical navigation pipeline for legged robots that can traverse such environments at high speed. The proposed pipeline consists of a planner and tracker module. The planner module finds physically feasible foothold plans by sampling-based optimization with fast sequential filtering using heuristics and a neural network. Subsequently, rollouts are performed in a physics simulation to identify the best foothold plan regarding the engineered cost function and to confirm its physical consistency. This hierarchical planning module is computationally efficient and physically accurate at the same time. The tracker aims to accurately step on the target…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Control and Dynamics of Mobile Robots · Robotic Locomotion and Control
