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.
@article{arxiv.2203.09337,
title = {CoBRA: A Composable Benchmark for Robotics Applications},
author = {Matthias Mayer and Jonathan Külz and Matthias Althoff},
journal= {arXiv preprint arXiv:2203.09337},
year = {2024}
}
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7 pages, 5 Figures, 5 Tables Final version for IEEE ICRA'24