565 search results - page 15 / 113 » A Guided Monte Carlo Approach to Optimization Problems |
ICRA
2008
IEEE
14 years 1 months ago
2008
IEEE
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
ICRA
1999
IEEE
13 years 11 months ago
1999
IEEE
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
ICRA
2005
IEEE
14 years 1 months ago
2005
IEEE
Abstract— Landmark-based graphs are a useful and parsimonious tool for representing large scale environments. Relating landmarks by means of feedback-control algorithms encoded i...
MT
2010
13 years 5 months ago
2010
Recent advances in statistical machine translation have used approximate beam search for NP-complete inference within probabilistic translation models. We present an alternative ap...