A visuo-tactile policy learning method that exploits tactile motion correlation for contact state distinction and Mixture-of-Transformers for cross-modal fusion.
Residual rotation correction using tactile equivariance
3 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
TacSE3 estimates SE(3) motion from low-texture visuotactile images by deriving planar translation from contact centroids and rotation from shear responses for in-gripper tracking.
A structured literature survey of safety mechanisms in long-horizon robotic manipulation organized by intervention timing and strength of supporting evidence.
citing papers explorer
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Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation
A visuo-tactile policy learning method that exploits tactile motion correlation for contact state distinction and Mixture-of-Transformers for cross-modal fusion.
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TacSE3: Equivariant SE(3) Motion Estimation from Low-Texture Visuotactile Images for In-Gripper Tracking and Compensation
TacSE3 estimates SE(3) motion from low-texture visuotactile images by deriving planar translation from contact centroids and rotation from shear responses for in-gripper tracking.
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Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation
A structured literature survey of safety mechanisms in long-horizon robotic manipulation organized by intervention timing and strength of supporting evidence.