Collaborative Dexterous Manipulation: Mechanisms and Interfaces

Abstract

Despite renewed focus over the last decade and numerous advances, robotic manipulation is not yet versatile enough for general, unscripted tasks in unstructured environments. Human-robot collaborative teams are poised for deployment in complex scenarios sooner than autonomous systems, as the humans cognitive abilities can deal with corner conditions and decisions that are difficult for autonomy. Still, a number of roadblocks remain for developing side-by-side, or eyes-on" collaboration and control mechanisms for manipulation. Supervisory control is difficult due to the intrinsic high dimensionality of the output space, whereas low-level teleoperation relies on dedicated hardware which can be obtrusive in the #field. The end-effector must be versatile enough for complex tasks, but still intuitive to control. No current robotic manipulation system meets all these goals. This project aims to advance the state of the art in Human-in-the-Loop robotic manipulation by jointly addressing end-effector design and both supervisory and low-level teleoperation through unobtrusive interfaces.

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 10, 2016
Source ID
N000141612026

Entities

People

  • Matei Ciocarlie

Organizations

  • Office of Naval Research
  • Trustees of Columbia University in the City of New York
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Space
  • Space - Spacecraft Maneuvers