Human-Machine Interaction Systems: moving the needle beyond slow learned behaviors in static environments to fast agile movements in uncertain complex environments

Abstract

Workshop to bring together control theorists who have studied motor control and robotics, behavioral neuroscientists who have modeled human motor behaviors, and neurophysiologists who have recorded from motor regions of the brain in primates, to discuss the challenges and approaches to accomplishing tasks A. Deriving Fundamental Performance Limitations of the SCS, and B. Constructing a Verifiable Architecture for Rapidly Reconfigurable Morphological Control.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 04, 2021
Source ID
W911NF1910266

Entities

People

  • Sri Sarma

Organizations

  • Army Contracting Command
  • Johns Hopkins University
  • United States Army

Tags

Readers

  • Neuroscience
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

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