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arXiv Robotics — research abstracts· Shuangyu Xie, Kaiyuan Chen, Uksang Yoo, Xinyue Zhu, Meadow Shen, Jaimyn Drake, Eugen Solowjow, Lionel Gulich, Alexander Millane, Rafael Cathomen, Tuur Stuyck, Sangeeta Subramanian, Yichao Pan, Bruce McGowan, Michael Benedict, Linxi Fan, Yuke Zhu, Spencer Huang, Ken Goldberg·· 5 days agoSignalEditorial score75

VABAR: A Variational Automation Benchmark for Agentic Robotics

VABAR: A Variational Automation Benchmark for Agentic Robotics

Summary

This paper introduces VABAR, a simulation-based benchmark designed to evaluate agentic robotics systems on six manipulation tasks involving variations in object shape and pose. The benchmark is built using open-source tools, features standardized task variations, difficulty tiers, success metrics, and a library of 33 generalizable skills with human-authored reference solutions. Initial baseline evaluations are provided using the Graph-as-Policy (GaP) harness and Isaac Lab Arena.

Editorial context

The authors propose VABAR, a simulation-based benchmark for agentic robotics that evaluates systems on six manipulation tasks with variations in object shape and pose, using open-source tools and an open agentic harness.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Environment
SimulationOpen source S4
  • paper: not_reported
  • code: not_reported
  • weights: not_reported
  • dataset: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

anning industrial, medical, and infrastructure applications: tool sorting, tool hanging, gear meshing, syringe packing, cable insertion, and cable routing. We introduce the Variational Automation Benchmark for Agentic Robotics (VABAR), an open, easily replicable, simulation-based manipulation benchmark to systematically evaluating agentic robotics systems. Built fully on open-source tools, VABAR features detailed imp

Open source S4

Source:arXiv Robotics — research abstracts · arxiv.org

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