RoboGrammar: graph grammar for terrain-optimized robot design

We present RoboGrammar, a fully automated approach for generating optimized robot structures to traverse given terrains. In this framework, we represent each robot design as a graph, and use a graph grammar to express possible arrangements of physical robot assemblies. Each robot design can then be...

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Bibliographic Details
Published in:ACM transactions on graphics 2020-11, Vol.39 (6), p.1-16, Article 188
Main Authors: Zhao, Allan, Xu, Jie, Konaković-Luković, Mina, Hughes, Josephine, Spielberg, Andrew, Rus, Daniela, Matusik, Wojciech
Format: Article
Language:English
Subjects:
Animation
Artificial intelligence
Computer graphics
Computing methodologies
Evolutionary robotics
Planning and scheduling
Procedural animation
Robotic planning
Search methodologies
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