Robot Ecologies: Biologically Inspired Heterogenous Teams

Abstract

This project constitutes a systematic investigation of biologically inspired principles for prescribing and analyzing capabilities, roles, and control strategies for different individuals in teams of autonomous agents. In particular, the role of heterogeneity is studied from a biologically inspired vantage-point in order to enable teams to respond to environmental changes in robust, effective, safe, and predictable ways. During the performance period, temporal heterogeneity was investigated through the design of slow robot architectures, capable of performing tasks over sustained periods. Heterogeneous solutions were moreover investigated for when designing collision avoidance strategies for teams of robots with differing capabilities, together with metrics that evaluate the inherent value of heterogeneous solutions.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512115

Entities

People

  • Magnus Egerstedt

Organizations

  • Georgia Tech Research Corporation
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction