BiDexGrasp supplies a 9.7-million-grasp bimanual dexterous dataset built via two-stage synthesis and a coordinated geometry-size-adaptive model that generates grasps for unseen objects.
End-to-end dexterous arm-hand vla policies via shared autonomy: Vr teleoperation augmented by autonomous hand vla policy for efficient data collection
3 Pith papers cite this work. Polarity classification is still indexing.
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Assistron combines pre-trained VLA models with phase-aware Bayesian shared autonomy and flow matching guidance to raise task success rates and lower human workload in manipulation benchmarks without model fine-tuning.
DexPIE improves dexterous manipulation success rates by 37% over demo policies via real-world experience collection with adapted intervention, multi-stage DAgger, asynchronous relative-action inference, and optimality conditioning.
citing papers explorer
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BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes
BiDexGrasp supplies a 9.7-million-grasp bimanual dexterous dataset built via two-stage synthesis and a coordinated geometry-size-adaptive model that generates grasps for unseen objects.
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Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models
Assistron combines pre-trained VLA models with phase-aware Bayesian shared autonomy and flow matching guidance to raise task success rates and lower human workload in manipulation benchmarks without model fine-tuning.
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DexPIE: Stable Dexterous Policy Improvement from Real-World Experience
DexPIE improves dexterous manipulation success rates by 37% over demo policies via real-world experience collection with adapted intervention, multi-stage DAgger, asynchronous relative-action inference, and optimality conditioning.