Underactuation Design for Tendon-Driven Hands via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces

Tianjian Chen, Long Wang, Maximilan Haas-Heger, Matei Ciocarlie

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Grasp synergies represent a useful idea to reduce grasping complexity without compromising versatility. Synergies describe coordination patterns between joints, either in terms of position (joint angles) or effort (joint torques). In both of these cases, a grasp synergy can be represented as a low-dimensional manifold lying in the high-dimensional joint posture or torque space. In this article, we use the term mechanically realizable manifolds to refer to the subset of such manifolds (in either posture or torque space) that can be achieved via mechanical coupling of the joints in underactuated hands. We present a method to optimize the design parameters of an underactuated hand in order to shape the mechanically realizable manifolds to fit a predefined set of desired grasps. Our method guarantees that the resulting synergies can be physically implemented in an underactuated hand, and will enable the resulting hand to both reach the desired grasp postures and achieve quasi-static equilibrium while loading the grasps. We demonstrate this method on three concrete design examples motivated by a real use case, and evaluate and compare their performance in practice.

Original languageEnglish
Article number9040678
Pages (from-to)708-723
Number of pages16
JournalIEEE Transactions on Robotics
Volume36
Issue number3
DOIs
StatePublished - Jun 2020

Keywords

  • Mechanically realizable manifolds
  • synergies
  • tendon-driven underactuated hands

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