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CoBRA: A Composable Benchmark for Robotics Applications

arXiv 2203.09337 ↗First posted 17 Mar 2022cs.ROcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Mar 2022.

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Citing papers per year: 2023: 1; 2024: 1.

2 papers.