Collaborative Robotics Design Considerations

Abstract

As research advances individual robot capabilities, a logical progression is the use of multiple robots to complete a task more effectively. Mission performance can be improved by the ability to allocate robots with diverse capabilities to perform different parts of a complex task. To paraphrase [10], there are many advantages to enabling robotic collaborative technologies: probability of task completion, completion speed, task precision, optimized functional allocation collaborative localization, robustness and diversity of solution. In previous work, the authors conducted independent literature surveys of multi-robot research using two different approaches. Both found the underlying research to be categorized within some common sub-disciplines. This paper consolidates findings from the two surveys, presents insights gained from the two different survey methods, and recommends approaches for future research into multirobot systems.

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Document Details

Document Type
Technical Report
Publication Date
May 06, 2004
Accession Number
ADA583067

Entities

People

  • Parag Batavia
  • Robert Watts

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Algorithms
  • Data Mining
  • Failure Mode And Effect Analysis
  • Information Operations
  • Jet Propulsion
  • Literature
  • Measurement
  • Military Operations
  • Robotic Swarms
  • Robotics
  • Robots
  • Simultaneous Localization And Mapping
  • Situational Awareness
  • United States
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy