CoBRA: A Composable Benchmark for Robotics Applications

Fuente: arXiv
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Autori principali: Mayer, Matthias, Külz, Jonathan, Althoff, Matthias
Natura: Preprint
Pubblicazione: 2022
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author Mayer, Matthias
Külz, Jonathan
Althoff, Matthias
author_facet Mayer, Matthias
Külz, Jonathan
Althoff, Matthias
contents Selecting an optimal robot, its base pose, and trajectory for a given task is currently mainly done by human expertise or trial and error. To evaluate automatic approaches to this combined optimization problem, we introduce a benchmark suite encompassing a unified format for robots, environments, and task descriptions. Our benchmark suite is especially useful for modular robots, where the multitude of robots that can be assembled creates a host of additional parameters to optimize. We include tasks such as machine tending and welding in synthetic environments and 3D scans of real-world machine shops. All benchmarks are accessible through https://cobra.cps.cit.tum.de, a platform to conveniently share, reference, and compare tasks, robot models, and solutions.
format Preprint
id arxiv_https___arxiv_org_abs_2203_09337
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle CoBRA: A Composable Benchmark for Robotics Applications
Mayer, Matthias
Külz, Jonathan
Althoff, Matthias
Robotics
Selecting an optimal robot, its base pose, and trajectory for a given task is currently mainly done by human expertise or trial and error. To evaluate automatic approaches to this combined optimization problem, we introduce a benchmark suite encompassing a unified format for robots, environments, and task descriptions. Our benchmark suite is especially useful for modular robots, where the multitude of robots that can be assembled creates a host of additional parameters to optimize. We include tasks such as machine tending and welding in synthetic environments and 3D scans of real-world machine shops. All benchmarks are accessible through https://cobra.cps.cit.tum.de, a platform to conveniently share, reference, and compare tasks, robot models, and solutions.
title CoBRA: A Composable Benchmark for Robotics Applications
topic Robotics
url https://arxiv.org/abs/2203.09337