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 language | English |
|---|---|
| Title of host publication | 2012 IEEE/OES Autonomous Underwater Vehicles |
| Publisher | IEEE |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-4577-2054-3 |
| ISBN (Print) | 978-1-4577-2055-0 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | IEEE/OES Autonomous Underwater Vehicles 2012 - Southampton, United Kingdom Duration: 24 Sept 2012 → 27 Sept 2012 |
Conference
| Conference | IEEE/OES Autonomous Underwater Vehicles 2012 |
|---|---|
| Abbreviated title | AUV 2012 |
| Country/Territory | United Kingdom |
| City | Southampton |
| Period | 24/09/12 → 27/09/12 |
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