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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
NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
ICPR
2010
IEEE
13 years 5 months ago
Online Learning with Self-Organizing Maps for Anomaly Detection in Crowd Scenes
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
Jie Feng, Chao Zhang, Pengwei Hao
ATAL
2006
Springer
13 years 11 months ago
Learning empathy: a data-driven framework for modeling empathetic companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester