STRNet improves goal-conditioned visual navigation by replacing simplistic encoders and pooling with a spatio-temporal fusion module that performs spatial graph reasoning and hybrid temporal modeling.
Rapid hand: A robust, affordable, perception- integrated, dexterous manipulation platform for generalist robot autonomy
4 Pith papers cite this work. Polarity classification is still indexing.
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FingerViP equips each finger with a miniature camera and trains a multi-view diffusion policy that achieves 80.8% success on real-world dexterous tasks previously limited by wrist-camera occlusion.
A kinematic framework evaluates robotic hand pinch configurations using fingertip workspace interactions without requiring object geometry or contact models.
A structured survey of dexterous robotic hand research that reviews hardware, control methods, data resources, and benchmarks while identifying major limitations and future directions.
citing papers explorer
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STRNet: Visual Navigation with Spatio-Temporal Representation through Dynamic Graph Aggregation
STRNet improves goal-conditioned visual navigation by replacing simplistic encoders and pooling with a spatio-temporal fusion module that performs spatial graph reasoning and hybrid temporal modeling.
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FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception
FingerViP equips each finger with a miniature camera and trains a multi-view diffusion policy that achieves 80.8% success on real-world dexterous tasks previously limited by wrist-camera occlusion.
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A Kinematic Framework for Evaluating Pinch Configurations in Robotic Hand Design without Object or Contact Models
A kinematic framework evaluates robotic hand pinch configurations using fingertip workspace interactions without requiring object geometry or contact models.
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Towards Robotic Dexterous Hand Intelligence: A Survey
A structured survey of dexterous robotic hand research that reviews hardware, control methods, data resources, and benchmarks while identifying major limitations and future directions.