asRoBallet achieves the first hardware deployment of an end-to-end RL policy for a humanoid ballbot by training in a high-fidelity simulation that models discrete roller mechanics and multi-channel friction for zero-shot transfer.
SeeThruFinger: See and Grasp Anything with a Multi-Modal Soft Touch
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FingerEye delivers continuous vision-tactile sensing via binocular RGB cameras and marker-tracked compliant ring deformation, supporting imitation learning policies that generalize across object variations for tasks like coin standing and syringe manipulation.
citing papers explorer
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asRoBallet: Closing the Sim2Real Gap via Friction-Aware Reinforcement Learning for Underactuated Spherical Dynamics
asRoBallet achieves the first hardware deployment of an end-to-end RL policy for a humanoid ballbot by training in a high-fidelity simulation that models discrete roller mechanics and multi-channel friction for zero-shot transfer.
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FingerEye: Continuous and Unified Vision-Tactile Sensing for Dexterous Manipulation
FingerEye delivers continuous vision-tactile sensing via binocular RGB cameras and marker-tracked compliant ring deformation, supporting imitation learning policies that generalize across object variations for tasks like coin standing and syringe manipulation.