Human-Robot Teams Collaborating Socially Organizationally, and Culturally

Abstract

We describe an approach examining multi-level collaboration challenges by integrating social, organizational, and cultural factors for human-robot teams operating in the real world. We discuss the research at three levels of social interaction: within a team, within a social environment, and within a culture. We first describe research exploring psychologically and biologically inspired models of behavior to extend the capabilities of heterogeneous multi-human, multi-robot teams. We then discuss research issues that must be addressed to provide insights on how robots can correctly vary actions in response to cultural populations and geospatial environments by recognizing and properly interpreting human configurations, cultural artifacts and behaviors. The goal is to make it possible for robots to function effectively within dynamic operational and social situations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA589926

Entities

People

  • Annie S. Wu
  • Jessie Y. C. Chen
  • Lotzi Boloni
  • Michael A Goodrich
  • Norman L. Badler
  • Stephen M. Fiore

Organizations

  • Brigham Young University

Tags

DTIC Thesaurus Topics

  • Autonomous Systems
  • Cognition
  • Cognitive Systems Engineering
  • Computational Science
  • Hierarchies
  • Human Behavior
  • Human-Robot Interaction
  • Language
  • Multiagent Systems
  • Organizational Structure
  • Psychology
  • Reasoning
  • Robots
  • Social Environment
  • Social Psychology
  • Supervisory Control
  • Teamwork

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Organizational Psychology.

Technology Areas

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