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Dylan Miller

2 papers indexed

arxivcs.RO2026-07-31

Temporal Policy: History-Initialized Action Generation for Robotic Learning from Demonstration

Dylan Miller, Martin Jagersand

By relying on independent couplings from uninformative Gaussian priors, standard diffusion and flow matching models are forced to learn complex, high-cost vector fields to reach the physical action space. Generative models excel at capturing multimodal behaviors for robotic Learn…

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arxivcs.RO2026-07-01

Sensorless Four-Channel Control Architecture Using Inverse Dynamics Modeling for Human-Scale Bilateral Teleoperation

Amir Noohian, Dylan Miller, Justin Valentine, Alan Lynch, Martin Jagersand

The four-channel teleoperation architecture is a well-established framework for achieving transparency in bilateral systems. However, its performance in human-scale teleoperation is limited by high inertia, modeling challenges, and reliance on noisy and costly force/torque sensor…

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