Abstract
Based on Hoff and Arbib' s control theory of the minimum jerk, this paper presents a new control model with cerebellar-like structure which can account for the temporal coordination of arm transport and hand preshape during reach and grasp tasks. And it has also be suggested that how the structure could learn two key functions required in the Hoff-Arbib theory, namely state look-ahead and TTG (time-to-go) estimation. The simulation results demonstrate that whether it be in a d or 2 d space, by training and learning, the model can obtain the accurate smooth motor trajectory.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
