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IROS
2009
IEEE
156views Robotics» more  IROS 2009»
15 years 6 months ago
Nonparametric belief propagation for distributed tracking of robot networks with noisy inter-distance measurements
— We consider the problem of tracking multiple moving robots using noisy sensing of inter-robot and interbeacon distances. Sensing is local: there are three fixed beacons at kno...
Jeremy Schiff, Erik B. Sudderth, Kenneth Y. Goldbe...
ICML
2009
IEEE
16 years 16 days ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
126
Voted
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 10 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun
RAS
2008
157views more  RAS 2008»
14 years 11 months ago
Appearance-based localization for mobile robots using digital zoom and visual compass
This paper describes a localization system for mobile robots moving in dynamic indoor environments, which uses probabilistic integration of visual appearance and odometry informat...
Nicola Bellotto, Kevin Burn, E. Fletcher, Stefan W...
ISRR
2005
Springer
99views Robotics» more  ISRR 2005»
15 years 5 months ago
On the Probabilistic Foundations of Probabilistic Roadmap Planning
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the performance of a PRM plan...
David Hsu, Jean-Claude Latombe, Hanna Kurniawati