Probabilistic Approaches to Robotic Perception
This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing.The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public's imagin…
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Produktdetails
Weitere Autoren: Miranda Dias, Jorge
- ISBN: 978-3-319-02005-1
- EAN: 9783319020051
- Produktnummer: 15324725
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2013
- Seitenangabe: 242 S.
- Masse: H23.5 cm x B15.5 cm 5'325 g
- Reihenbandnummer: 91
- Gewicht: 5325
- Sonstiges: Research
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