RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design

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
Main Authors: Zhao, Allan, Xu, Jie, Konakovic-Lukovic, Mina, Hughes, Josephine, Spielberg, Andrew, Rus, Daniela, Matusik, Wojciech
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Association for Computing Machinery 2025
Online Access:https://hdl.handle.net/1721.1/158234

Internet

https://hdl.handle.net/1721.1/158234

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