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» Covisibility-Based Map Learning Method for Mobile Robots
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AROBOTS
2000
108views more  AROBOTS 2000»
13 years 7 months ago
Robot Awareness in Cooperative Mobile Robot Learning
Most of the straight-forward learning approaches in cooperative robotics imply for each learning robot a state space growth exponential in the number of team members. To remedy the...
Claude F. Touzet
RAS
2010
127views more  RAS 2010»
13 years 6 months ago
Maximum-likelihood sample-based maps for mobile robots
— The problem of representing environments of a mobile robot has been studied intensively in the past. The predominant approaches for geometric representations are gridbased or l...
Daniel Meyer-Delius, Wolfram Burgard
IDA
2003
Springer
14 years 27 days ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
JFR
2006
140views more  JFR 2006»
13 years 7 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
ICML
2000
IEEE
14 years 8 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh