AD Hoc Study on Human Robot Interface Issues

Abstract

The Army Science Board Panel was tasked to: (1) Examine Army, DARPA, Navy, Air Force and NASA unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV) research and development efforts focused on human-machine interfaces, command and control of robots and supervisory control; (2) Project technologies and capabilities into the 2015-2020 timeframe and assess technology voids that may remain; (3) Determine the availability issues for applicable commercial systems and technologies; and (4) Propose cost-effective options or strategies for addressing identified technology voids. The Panel's findings discuss the absence of a systematic study of human-robot interface design and a disconnect between end-users and the development process. The Panel's overall recommendations include: (1) development of an operational architecture with support from experimental data collected in operationally relevant scenarios in realistic environments; (2) Formulation of an FCS Block I human-robot interaction architecture consistent the FCS Operational Requirements Document in time for the FCS Milestone B decision; and (3) Establishment of a Science and Technology program aimed at developing a technical architecture for human robot interactions focused on autonomous ground robots.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA411834

Entities

People

  • David Martinez
  • John Blair
  • Prasanna Mulgaonka
  • Robert Dodd
  • Roberta-diane J. Perna

Organizations

  • Army Science Board

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Commercial Aircraft
  • Control Systems
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Human-Robot Interaction
  • Military Research
  • Military Science
  • Systems Engineering
  • Test And Evaluation
  • Unmanned Systems
  • Unmanned Vehicles
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Defense Technology Research and Development.
  • Maritime Combat Support and Expeditionary Logistics.
  • 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
  • Fully Networked C3
  • Fully Networked C3 - Command and Control