Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration
It is suggested that variation among actions sampled by a generative policy can serve as an online control signal for balancing assistance and compliance in physical human-robot interaction.
Aoi Otake, Ferdinand Hartmann, Ko Igari et al.
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