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Diffusion Model Generates Patient-Specific Gait Trajectories for Exoskeletons
A new arXiv paper proposes using diffusion models to synthesize musculoskeletal gait trajectories tailored to individual patient parameters, a step toward better reference signals for wearable assistive devices. The authors frame this as a challenge for lower-limb exoskeletons and rehabilitation robotics, where control depends on trajectories matched to each user. The abstract is preliminary and reports no experimental results yet.