Difference between revisions of "Roboticky Seminar/sk"
From RoboWiki
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* 23.4. Introduction to Hidden Markov Models ''Andy'' | * 23.4. Introduction to Hidden Markov Models ''Andy'' | ||
| − | * 30.4. Markov Decision Processes v Robotike ''Palo'' | + | * 30.4. Markov Decision Processes v Robotike (chapter 14) ''Palo'' |
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| + | * 7.5. Partially Observable Markov Decision Processes (chapter 15) ''Palo'' | ||
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| + | * 14.5. Approximate POMDP Techniques (chapter 16) ''Palo'' | ||
* príde: Bayesian filters, Kalman filters | * príde: Bayesian filters, Kalman filters | ||
Revision as of 21:15, 10 May 2008
Čas: Streda, 11:30 - 13:00
Miesto: Robotické laboratórium, FEI STU, blok D, 7. poschodie
Na robotickom seminári sa preberajú teoretické i praktické aspekty programovania inteligentných robotických systémov. Záujemci sú vítaní (pre istotu sa najskôr ozvite na info@robotika.sk).
Program seminára:
- 12.3. Bayesian Robot Programming, Palo
- 19.3. Introduction to Probabilistic Robotics Palo
- 26.3. 14:00 Introduction to Bayesian Robot Programming and Probabilistic Robotics - úvodná prednáška
- 9.4. (mimoriadne v utorok) 11:30, 6. kapitola z knizky Probabilistic Robotics: Perception, Riso
- 16.4. Náhodné premenné, rozdelenie, korelácia, Andy ( Slajdy)
- 23.4. Introduction to Hidden Markov Models Andy
- 30.4. Markov Decision Processes v Robotike (chapter 14) Palo
- 7.5. Partially Observable Markov Decision Processes (chapter 15) Palo
- 14.5. Approximate POMDP Techniques (chapter 16) Palo
- príde: Bayesian filters, Kalman filters
Materiály:
Sebastian Thrun, Wolfram Burgard and Dieter Fox: Probabilistic Robotics, The MIT Press, Cambridge, 2005. ISBN: 0-262-20162-3
- The Book
- Book's Website (figures, slides and some videos and animations)
- Ďalšie články
