Temporal Heterogeneity and the Value of Slowness in Robotic Systems

Abstract

Robot teaming is a well-studied area, but little research to date has been conducted on the fundamental benefits of heterogeneous teams and virtually none on temporal heterogeneity, where timescales of the various platforms are radically different. This paper explores this aspect of robot ecosystems consisting of fast and slow robots (Slow Bots)working together, including the bio-inspiration for such systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2015
Accession Number
AD1002665

Entities

People

  • Magnus Egerstedt
  • Ronald C. Arkin

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy
  • Counter WMD

DTIC Thesaurus Topics

  • Animals
  • Autonomous Agents
  • Birds
  • Control Systems
  • Counterterrorism
  • Disasters
  • Ecosystems
  • Electronic Mail
  • Energy Conservation
  • Energy Efficiency
  • Environmental Monitoring
  • Heterogeneity
  • Monitoring
  • Networks
  • Research Facilities
  • Robotics
  • Weapons Of Mass Destruction

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Robotics and Automation.
  • Seismology

Technology Areas

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