Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing

Learning and reproducing complex movements is an important skill for robots. However, while humans can learn and generalise new complex trajectories, robots are often programmed to execute point-by-point precise but fixed patterns. This study proposes a method for decomposing new complex trajectorie...

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Bibliographic Details

Main Authors:	Andrea Soltoggio, Andre Lemme, Jochen Steil
Format:	Default Conference proceeding
Published:	2012
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/16077
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