Object Instance Detection and Dynamics Modeling in a Long-Term Mobile Robot Context

Object Instance Detection and Dynamics Modeling in a Long-Term Mobile Robot Context

In the last years, simple service robots such as autonomous vacuum cleaners and lawn mowers have become commercially available and increasingly common. The next generation of service robots should perform more advanced tasks, such as to clean up objects. Robots then need to learn to robustly navigat...

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Bibliographic Details
Main Author: Bore, Nils
Format: Doctoral Thesis
Language:English
Published: KTH, Robotik, perception och lärande, RPL 2017
Subjects:
robotics
long-term
mapping
tracking
unsupervised learning
estimation
object modeling
Robotics
Robotteknik och automation
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219813
http://nbn-resolving.de/urn:isbn:978-91-7729-638-6

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219813
http://nbn-resolving.de/urn:isbn:978-91-7729-638-6

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