Authors release Variability Agent Benchmark for embodied robots VABAR
What happened
Shuangyu Xie and other authors propose and release VABAR, a variability automation benchmark for embodied robots, to systematically evaluate such systems in simulation. The benchmark is built entirely on open-source tools, uses the Newton physics engine, and includes standardized task variants, difficulty levels, success metrics, as well as 33 generalizable skills and human-written procedural reference solutions. VABAR covers six categories of manipulation tasks: tool sorting, tool hanging, gear meshing, syringe loading, cable insertion, and cable routing. The authors also provide an initial baseline evaluation based on Graph-as-Policy (GaP) and Isaac Lab Arena.
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- arXiv cs.ROVABAR: A Variational Automation Benchmark for Agentic Robotics released
The authors propose VABAR, a Variational Automation Benchmark for agentic robotics, built on open-source tools and the Newton physics engine for simulated manipulation evaluation. The benchmark covers six manipulation task classes: tool sorting, tool hanging, gear meshing, syringe packing, cable insertion, and cable routing. It includes standardized task variants, difficulty levels, success metrics, 33 generalizable skills, and human-written programmatic reference solutions. The paper also presents an initial baseline evaluation based on Graph-as-Policy (GaP) and Isaac Lab Arena.
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