Animal Gaits on Quadrupedal Robots Using Motion Matching and Model-Based Control


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Date

2021

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

In this paper, we explore the challenge of generating animal-like walking motions for legged robots. To this end, we propose a versatile and robust control pipeline that combines a state-of-the-art model-based controller with a data-driven technique that is commonly used in computer animation. We demonstrate the efficacy of our control framework on a variety of quadrupedal robots in simulation. We show, in particular, that our approach can automatically reproduce key characteristics of animal motions, including speed-specific gaits, unscripted footfall patterns for nonperiodic motions, and natural small variations in overall body movements.

Publication status

published

Editor

Book title

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Journal / series

Volume

Pages / Article No.

8500 - 8507

Publisher

IEEE

Event

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Legged robotics; Animatronics; Quadrupedal Robots; Robust control; Computational modeling; Pipelines; Animation

Organisational unit

09620 - Coros, Stelian / Coros, Stelian check_circle

Notes

Funding

866480 - Computational Models of Motion for Fabrication-aware design of Bioinspired Systems (EC)

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