DAWN: Diffusion-based Alignment and unfastening Workflow Network
Overview
This paper presents DAWN, a hierarchical robotic framework for performing real-world unfastening tasks through multi-modal sensory integration. The framework is divided into two stages: alignment & insertion, and unfastening, with three key components—AlignNet, LatchNet, and UnfastNet—ensuring precise engagement, reliable stage transitions, and stable force-controlled removal. Experimental results on a Franka Emika robot show success rates comparable to human operators, with ablation studies highlighting the method's scalability and data efficiency.
From arXiv Robotics — research abstracts
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- 2026-10-31T17:42:32.068Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalDAWN: Diffusion-based Alignment and unfastening Workflow Network
This paper presents DAWN, a hierarchical robotic framework for performing real-world unfastening tasks through multi-modal sensory integration. The framework is divided into two stages: alignment & insertion, and unfastening, with three key components—AlignNet, LatchNet, and UnfastNet—ensuring precise engagement, reliable stage transitions, and stable force-controlled removal. Experimental results on a Franka Emika robot show success rates comparable to human operators, with ablation studies highlighting the method's scalability and data efficiency.
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