Hierarchical Planning and Control for Complex Motor Tasks
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Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
ACM Siggraph
Abstract
We present a planning and control framework that enables physically simulated characters to perform various types of motor tasks. To create physically-valid motion plans, our method uses a hierarchical set of simplified models. Computational resources are therefore focused where they matter most: motion plans for the immediate future are generated using higher-fidelity models, while coarser models are used to create motion plans with longer time horizons. Our framework can be used for different types of motor skills, including ones where the actions of the arms and legs must be precisely coordinated. We demonstrate controllers for tasks such as getting up from a chair, crawling onto a raised platform, or using a handrail while climbing stairs. All of the motions are simulated using a black-box physics engine from high level user commands, without requiring any motion capture data.
Description
@inproceedings{10.1145:2786784.2786795,
booktitle = {ACM/ Eurographics Symposium on Computer Animation},
editor = {Florence Bertails-Descoubes and Stelian Coros and Shinjiro Sueda},
title = {{Hierarchical Planning and Control for Complex Motor Tasks}},
author = {Zimmermann, Daniel and Coros, Stelian and Ye, Yuting and Sumner, Robert W. and Gross, Markus},
year = {2015},
publisher = {ACM Siggraph},
ISBN = {978-1-4503-3496-9},
DOI = {10.1145/2786784.2786795}
}