Persistent autonomy artificial intelligence or biomimesis?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We seek to develop autonomous robots that can operate and interact unsupervised for extended lengths of time in unknown environments, adapting their purpose in response to events and goals, learning from successes and failures, recovering from errors in execution whilst monitoring and maintaining self health. Such persistent autonomy is a challenging ambition, and the subject of an increasingly intense research effort. Two broad approaches have evolved, one rooted in artificial intelligence research from the 1970s onward, and the other in studies of animals and even plants that nature has evolved over millennia. Both offer opportunities and challenges in implementation. This paper presents a snapshot of recent and ongoing developments from each approach, and offers some perspectives on the potential that each offers.

Original languageEnglish
Title of host publication2012 IEEE/OES Autonomous Underwater Vehicles
PublisherIEEE
Number of pages8
ISBN (Electronic)978-1-4577-2054-3
ISBN (Print)978-1-4577-2055-0
DOIs
Publication statusPublished - 2012
EventIEEE/OES Autonomous Underwater Vehicles 2012 - Southampton, United Kingdom
Duration: 24 Sep 201227 Sep 2012

Conference

ConferenceIEEE/OES Autonomous Underwater Vehicles 2012
Abbreviated titleAUV 2012
CountryUnited Kingdom
CitySouthampton
Period24/09/1227/09/12

Keywords

  • autonomous underwater robot
  • artificial intelligence
  • biomimesis
  • bioinspired
  • architecture
  • persistent autonomy
  • world model
  • ontology
  • skill learning
  • adaptive planning
  • soft robot
  • fish swimming
  • flow sense
  • electric sense
  • biosonar
  • ARCHITECTURE
  • SYSTEM
  • COORDINATION
  • ROBOT

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