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» Randomized model predictive control for robot navigation
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119
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GECCO
2000
Springer
109views Optimization» more  GECCO 2000»
15 years 6 months ago
GP+Echo+Subsumption = Improved Problem Solving
Real-time, adaptive control is a difficult problem that can be addressed by EC architectures. We are interested in incorporating into an EC architecture some of the features that ...
William F. Punch, W. M. Rand
CA
1999
IEEE
15 years 7 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
ICRA
2008
IEEE
148views Robotics» more  ICRA 2008»
15 years 9 months ago
Visual saliency model for robot cameras
— Recent years have seen an explosion of research on the computational modeling of human visual attention in task free conditions, i.e., given an image predict where humans are l...
Nicholas J. Butko, Lingyun Zhang, Garrison W. Cott...
IROS
2006
IEEE
175views Robotics» more  IROS 2006»
15 years 9 months ago
Toward Online Probabilistic Path Replanning in Dynamic Environments
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Roland Philippsen, Björn Jensen, Roland Siegw...
105
Voted
ICMLA
2008
15 years 4 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...