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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WalkOCC bootstraps pseudo 3D occupancy labels from paired LiDAR-RGB sequences and jointly trains on unpaired monocular images for sidewalk robots, plus introduces the Sidewalk3D dataset.
citing papers explorer
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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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Monocular 3D Occupancy Perception for Robots on Sidewalks via Hybrid 2D-3D Learning
WalkOCC bootstraps pseudo 3D occupancy labels from paired LiDAR-RGB sequences and jointly trains on unpaired monocular images for sidewalk robots, plus introduces the Sidewalk3D dataset.