Energy-saving trajectory planning for robots using the genetic algorithm with assistant chromosomes
Crossref DOI link: https://doi.org/10.1007/s10015-019-00556-8
Published Online: 2019-09-13
Published Print: 2020-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yokose, Yoshio
Text and Data Mining valid from 2019-09-13
Version of Record valid from 2019-09-13
Article History
Received: 24 April 2019
Accepted: 27 August 2019
First Online: 13 September 2019