On the motion planning of human-like reaching movements by a minimum variance model

Mikhail Mikhailovich Svinin, Motoji Yamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The paper deals with modeling of human-like reaching movements using probabilistic models. The main issue under study is the generation of asymmetric velocity profiles with features compatible with previously obtained experimental data. For this purpose a popular minimum variance model is exploited and analyzed. A reformulated version of this model that does not feature a post-movement time specification is proposed and tested under simulation. It is shown that under proper selection of weight coefficients human-like motion profiles can be generated in the reformulated version of the minimum variance model.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Number of pages6
Publication statusPublished - Dec 1 2010
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: Nov 21 2010Nov 24 2010

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Other2010 IEEE Region 10 Conference, TENCON 2010

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications


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