Screw-based motion planning extracted from single demonstrations enables robots to autonomously execute long-horizon nanoparticle synthesis protocols.
Dynamical Movement Primitives: Learning Attractor Models for Motor Be- haviors
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Robotic Nanoparticle Synthesis via Solution-based Processes
Screw-based motion planning extracted from single demonstrations enables robots to autonomously execute long-horizon nanoparticle synthesis protocols.