TouchGuide improves contact-rich robot manipulation by steering diffusion or flow-matching visuomotor policies with tactile feasibility scores from a contrastively trained Contact Physical Model.
Streaming flow policy: Simplifying diffusion/flow- matching policies by treating action trajectories as flow trajectories
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Q2RL extracts Q-functions from BC policies via minimal interactions and applies Q-gating to enable stable offline-to-online RL, outperforming baselines on manipulation benchmarks and achieving up to 100% success on-robot.
A novel diffusion variant accelerates minimum-time planning for redundant dual-arm robots by replacing gradient-based solving of the nonconvex high-level problem with probabilistic sampling, yielding 35x faster runtime and 34% less path error.
citing papers explorer
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TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance
TouchGuide improves contact-rich robot manipulation by steering diffusion or flow-matching visuomotor policies with tactile feasibility scores from a contrastively trained Contact Physical Model.
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When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning
Q2RL extracts Q-functions from BC policies via minimal interactions and applies Q-gating to enable stable offline-to-online RL, outperforming baselines on manipulation benchmarks and achieving up to 100% success on-robot.
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Diffusion-Based Optimization for Accelerated Convergence of Redundant Dual-Arm Minimum Time Problems
A novel diffusion variant accelerates minimum-time planning for redundant dual-arm robots by replacing gradient-based solving of the nonconvex high-level problem with probabilistic sampling, yielding 35x faster runtime and 34% less path error.