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.
Presents BioProVLA-Agent, a protocol-driven VLA-enabled multi-agent system for embodied biological manipulation with visual state verification and AugSmolVLA augmentation for robustness in wet-lab conditions.
ChemBot adds dual-layer memory and future-state asynchronous inference to VLA models, enabling better long-horizon success in chemical lab automation on collaborative robots.
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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
Presents BioProVLA-Agent, a protocol-driven VLA-enabled multi-agent system for embodied biological manipulation with visual state verification and AugSmolVLA augmentation for robustness in wet-lab conditions.