Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms

Fuente: arXiv
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Auteurs principaux: Datar, Aniket, Pan, Chenhui, Nazeri, Mohammad, Xiao, Xuesu
Format: Preprint
Publié: 2023
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author Datar, Aniket
Pan, Chenhui
Nazeri, Mohammad
Xiao, Xuesu
author_facet Datar, Aniket
Pan, Chenhui
Nazeri, Mohammad
Xiao, Xuesu
contents Most conventional wheeled robots can only move in flat environments and simply divide their planar workspaces into free spaces and obstacles. Deeming obstacles as non-traversable significantly limits wheeled robots' mobility in real-world, extremely rugged, off-road environments, where part of the terrain (e.g., irregular boulders and fallen trees) will be treated as non-traversable obstacles. To improve wheeled mobility in those environments with vertically challenging terrain, we present two wheeled platforms with little hardware modification compared to conventional wheeled robots; we collect datasets of our wheeled robots crawling over previously non-traversable, vertically challenging terrain to facilitate data-driven mobility; we also present algorithms and their experimental results to show that conventional wheeled robots have previously unrealized potential of moving through vertically challenging terrain. We make our platforms, datasets, and algorithms publicly available to facilitate future research on wheeled mobility.
format Preprint
id arxiv_https___arxiv_org_abs_2303_00998
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms
Datar, Aniket
Pan, Chenhui
Nazeri, Mohammad
Xiao, Xuesu
Robotics
Most conventional wheeled robots can only move in flat environments and simply divide their planar workspaces into free spaces and obstacles. Deeming obstacles as non-traversable significantly limits wheeled robots' mobility in real-world, extremely rugged, off-road environments, where part of the terrain (e.g., irregular boulders and fallen trees) will be treated as non-traversable obstacles. To improve wheeled mobility in those environments with vertically challenging terrain, we present two wheeled platforms with little hardware modification compared to conventional wheeled robots; we collect datasets of our wheeled robots crawling over previously non-traversable, vertically challenging terrain to facilitate data-driven mobility; we also present algorithms and their experimental results to show that conventional wheeled robots have previously unrealized potential of moving through vertically challenging terrain. We make our platforms, datasets, and algorithms publicly available to facilitate future research on wheeled mobility.
title Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms
topic Robotics
url https://arxiv.org/abs/2303.00998