Probabilistic Algorithms for Efficient Grasping and Fixturing
โ Scribed by M. Teichmann; B. Mishra
- Publisher
- Springer
- Year
- 2000
- Tongue
- English
- Weight
- 180 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0178-4617
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper, we consider the behavioral pseudometrics for probabilistic systems, which are a quantitative analogue of probabilistic bisimilarity in the sense that the distance zero captures the probabilistic bisimilarity. The model we are interested in is probabilistic automata, which are based on
## Abstract In many realโlife situations, we are interested in the value of a physical quantity __y__ that is difficult or impossible to measure directly. To estimate __y__, we find some easierโtoโmeasure quantities __x__~1~, โฆ , __x~n~__ which are related to __y__ by a known relation __y__ = __f__