BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation Tasks
In this paper, we present BiDex-100, a simulation benchmark for bimanual dexterous manipulation that combines broad task coverage, multi-dimensional evaluation, and high-DoF hand embodiments.
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Key points
- Bimanual manipulation with dexterous hands has attracted growing attention in research on robotic action models.
- However, few studies have developed benchmarks specifically tailored for dexterous manipulation, leaving the dexterous manipulation capabilities of existing models insufficiently characterized.
- In addition, the benchmark supports two embodiments and provides 8,080 success-validated teleoperated demonstrations, totaling 6.25 million frames.
- We evaluate seven recent Vision-Language-Action models under a unified protocol, establishing baselines for capability-specific performance, robustness, and data efficiency.
Sources (2)
- [1]BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation TasksarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 18, 06:44 PM
In this paper, we present BiDex-100, a simulation benchmark for bimanual dexterous manipulation that combines broad task coverage, multi-dimensional evaluation, and high-DoF hand embodiments.
Bimanual manipulation with dexterous hands has attracted growing attention in research on robotic action models.
- [2]BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation TasksHugging Face Daily Papers · Oct 18, 12:00 AM · same content
Extractive summary: sentences quoted from the sources.
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