Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy | ScienceToStartup | ScienceToStartup

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References (37)

[1]

Instruction Anchors: Dissecting the Causal Dynamics of Modality Arbitration

2026Yu Zhang, Mufan Xu et al.

[2]

MM-ACT: Learn from Multimodal Parallel Generation to Act

2025Haotian Liang, Xinyi Chen et al.

[3]

MV-BMR: A real-time Motion and Vision Sensing Integration based Agile Badminton Robot

Founder's Pitch

"DCDP offers real-time closed-loop action correction for robotic manipulation using a plug-and-play diffusion policy framework."

Robotics•Score: 7•View PDF ↗

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Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

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References (37)

Founder's Pitch

"DCDP offers real-time closed-loop action correction for robotic manipulation using a plug-and-play diffusion policy framework."

Commercial Viability Breakdown

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Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

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References (37)

Founder's Pitch

"DCDP offers real-time closed-loop action correction for robotic manipulation using a plug-and-play diffusion policy framework."

Commercial Viability Breakdown

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