Optimal Control of Grasping Problem Using Postural Synergies

EasyChair Preprint 3770

Abstract

The human hand has a complex musculoskeletal structure which acts as an effective end-effector to perform grasping effectively. Optimal control is a productive method to execute predictive simulations for many biomechanical activities. Optimal control for grasping simulations has been demonstrated for precision grasps for two fingers. However, the procedure to expand it to a full hand is laborious, primarily due to a large computational cost. Furthermore, a full hand performs with a high degree of coordination. These issues  can be challenged by the inclusion of kinematic or postural synergies in the multibody framework. In this work, we implement the modelling of kinematic synergies to perform grasping simulations.

Keyphrases: Hand Synergies, Hand kinematics, Model Order Reduction, Postural Synergies, human grasping, synergy actuated hand model

@booklet{EasyChair:3770,
  author    = {Uday Phutane and Michael Roller and Anja Boebel and Sigrid Leyendecker},
  title     = {Optimal Control of Grasping Problem Using Postural Synergies},
  howpublished = {EasyChair Preprint 3770},
  year      = {EasyChair, 2020}}