Enhancing the Dexterity of a Robot Hand Using Controlled Slip

Abstract

Humans can effortlessly manipulate objects in their hands, dexterously sliding and twisting them with their grasp. Robots, however, have none of these capabilities, they simply gasp objects rigidly in their end effectors. To investigate this common form of human manipulation, an analysis of controlled slipping of a grasped object within a robot hand was performed. The Salisbury robot hand demonstrated many of these controlled slipping techniques, illustrating many results of this analysis. First, the possible slipping motions were found as a function of the location, orientation, and types of contact between the hand and the object. Second, for a given grasp, the contact types were determined as a function of the grasping force and the external forces on the object. Finally, by changing the grasping force and the external forces on the object. Finally, by changing the grasping force, the robot modified the constraints on the object and affect controlled slipping motions. Keywords: Dexterity; Constraint; Screws; Wrenches; Fingertip sensors.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA209363

Entities

People

  • David L. Brock

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cantilever Beams
  • Consistency
  • Curvature
  • Finite Element Analysis
  • Geometry
  • Lisp Programming Language
  • Materials
  • Mechanical Engineering
  • Mechanical Properties
  • Mechanics
  • Military Research
  • Modulus Of Elasticity
  • Pressure Distribution
  • Standards
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy