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VABAR: A Variational Automation Benchmark for Agentic Robotics

1 reports1 reporting sourcesUpdated 5 days ago

Overview

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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.

Generated from attributed reports · Updated 3 days ago

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Environment: simulation
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“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”

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11/5
  1. arXiv Robotics — research abstractsSignal
    VABAR: A Variational Automation Benchmark for Agentic Robotics

    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.

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Current attention 3·Peak within the comparable range 3(2026-11-07 00:00 UTC)·Change within the comparable range over 24 hours –

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