Movement primitives as a robotic tool to interpret trajectories through learning-by-doing

Articulated movements are fundamental in many human and robotic tasks. While humans can learn and generalise arbitrarily long sequences of movements, and particularly can optimise them to fit the constraints and features of their body, robots are often programmed to execute point-to-point precise bu...

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Bibliographic Details

Main Authors:	Andrea Soltoggio, Andre Lemme
Format:	Default Article
Published:	2013
Subjects:	Artificial intelligence not elsewhere classified Other information and computing sciences not elsewhere classified Learning Movement primitives Pattern matching Perception Trajectory decomposition Artificial Intelligence and Image Processing Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/16985
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