LIBERO-Safety supplies a scalable benchmark, data-generation pipeline, and 19,664-demonstration dataset that exposes a generalization-safety tension in current VLA models where diverse training improves collision avoidance but task success stays limited by trajectory quality and semantic understandi
Robochemist: Long-horizon and safety-compliant robotic chemical experimentation
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Dexora is the first open-source VLA system for dual-arm dual-hand high-DoF manipulation, trained on 100K simulated and 10K real teleoperated trajectories with a discriminator-weighted diffusion policy, achieving 66.7% dexterous success versus 51.7% for baselines.
A protocol-driven multi-agent VLA system with visual verification and AugSmolVLA augmentation improves wet-lab robot execution over ACT, X-VLA, and SmolVLA on atomic, composite, and bimanual tasks.
A dual-layer memory and progress-aware VLA system for long-horizon chemical lab automation reports higher success rates than monolithic VLA baselines on a UR3 robot.
citing papers explorer
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models
LIBERO-Safety supplies a scalable benchmark, data-generation pipeline, and 19,664-demonstration dataset that exposes a generalization-safety tension in current VLA models where diverse training improves collision avoidance but task success stays limited by trajectory quality and semantic understandi
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Dexora: Open-source VLA for High-DoF Bimanual Dexterity
Dexora is the first open-source VLA system for dual-arm dual-hand high-DoF manipulation, trained on 100K simulated and 10K real teleoperated trajectories with a discriminator-weighted diffusion policy, achieving 66.7% dexterous success versus 51.7% for baselines.
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BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation
A protocol-driven multi-agent VLA system with visual verification and AugSmolVLA augmentation improves wet-lab robot execution over ACT, X-VLA, and SmolVLA on atomic, composite, and bimanual tasks.
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Long-Term Memory for VLA-based Agents in Open-World Task Execution
A dual-layer memory and progress-aware VLA system for long-horizon chemical lab automation reports higher success rates than monolithic VLA baselines on a UR3 robot.