HIGHLIGHTS
- who: KYO KUTSUZAWA and colleagues from the (UNIVERSITY) have published the Article: Imitation Learning with Time-Varying Synergy for Compact Representation of Spatiotemporal Structures, in the Journal: (JOURNAL)
- what: 2) This study shows that time-varying synergies can make NNs robust against fluctuations in observations caused by robot control errors. 3) Finally, this study shows that the proposed method allows NNs to generate new movements not included in human demonstrations. This model has more parameters than the proposed and baseline-A models. The aim of the experiments was to compare the performance with and without . . .
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