Real‐Time Remodeling of Granular Terrain for Robot Locomotion

Real‐Time Remodeling of Granular Terrain for Robot Locomotion

Terrain irregularities in natural environments present mobility challenges for autonomous robots and vehicles. Loosely consolidated sandy slopes flow unpredictably when perturbed, often leading to locomotion failure. Systematic experiments with various robot morphologies on flowable terrains feature...

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Bibliographic Details
Main Authors: Andras Karsai, Deniz Kerimoglu, Daniel Soto, Sehoon Ha, Tingnan Zhang, Daniel I. Goldman
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Advanced Intelligent Systems
Subjects:
flowable terrains
granular media
machine learning
robophysics
robot locomotion
Online Access:https://doi.org/10.1002/aisy.202200119

Internet

https://doi.org/10.1002/aisy.202200119

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