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» Map building with mobile robots in dynamic environments
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AAAI
2006
15 years 1 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
MOBICOM
2010
ACM
14 years 12 months ago
Sybot: an adaptive and mobile spectrum survey system for wifi networks
Information on site-specific spectrum characteristics is essential to evaluate and improve the performance of wireless networks. However, it is usually very costly to obtain accur...
Kyu-Han Kim, Alexander W. Min, Kang G. Shin
CDC
2009
IEEE
157views Control Systems» more  CDC 2009»
15 years 4 months ago
On trajectory optimization for active sensing in Gaussian process models
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
Jerome Le Ny, George J. Pappas
96
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GECCO
2004
Springer
15 years 5 months ago
Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
Rainer W. Paine, Jun Tani
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
15 years 5 months ago
Opportunistic Use of Vision to Push Back the Path-Planning Horizon
Abstract— Mobile robots need maps or other forms of geometric information about the environment to navigate. The mobility sensors (LADAR, stereo, etc.) on these robotic vehicles ...
Bart C. Nabbe, Derek Hoiem, Alexei A. Efros, Marti...