Manipulation Capabilities with Simple Hands

Abstract

A simple hand is a robotic gripper that trades off generality in function for practicality in design and control. The long-term goal of our work is to explore that trade-off and demonstrate broad manipulation capabilities with simple hands. This paper describes two prototype simple hands. Both hands have thin cylindrical fingers arranged symmetrically around a low friction circular palm. The fingers are compliantly coupled to a single actuator. Our experiments with both hands in a binpicking scenario demonstrate that we can achieve robust grasp classification and in-hand localization using simple statistical techniques. We further show how the classification accuracy increases as the grasp proceeds by exploiting information obtained online. We finally evaluate the relative importance of observing the full state of the hand rather than just observing the state of the actuators.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA532827

Entities

People

  • Alberto Rodriguez
  • Matthew T. Mason
  • Siddhartha Srinivasa

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Actuators
  • Classification
  • Control
  • Damage Detection
  • Detection
  • Detectors
  • Electronic Mail
  • Energy
  • Friction
  • Information Science
  • Machine Learning
  • Models
  • Potential Energy
  • Prototypes
  • Shape
  • Supervised Machine Learning

Fields of Study

  • Computer science
  • Physics

Readers

  • Robotics and Automation.
  • Structural Dynamics.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Autonomy