Persistent autonomy artificial intelligence or biomimesis?

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 se...

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Bibliographic Details
Published in2012 IEEE/OES Autonomous Underwater Vehicles (AUV) pp. 1 - 8
Main Author Lane, D. M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
adaptive planning
architecture
artificial intelligence
autonomous underwater robot
bioinspired
biomimesis
biosonar
Computer architecture
electric sense
fish swimming
flow sense
Learning systems
Marine animals
Ontologies
ontology
persistent autonomy
Planning
Robot sensing systems
skill learning
soft robot
world model
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ISBN9781457720550
1457720558
ISSN1522-3167
DOI10.1109/AUV.2012.6380719

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Summary: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.
ISBN:9781457720550
1457720558
ISSN:1522-3167
DOI:10.1109/AUV.2012.6380719