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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 10 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
160
Voted
RSS
2007
152views Robotics» more  RSS 2007»
15 years 5 months ago
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
CMSB
2009
Springer
15 years 10 months ago
Approximation of Event Probabilities in Noisy Cellular Processes
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time st...
Frédéric Didier, Thomas A. Henzinger...
SARA
2007
Springer
15 years 10 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
WACV
2008
IEEE
15 years 10 months ago
Intraoperative Visualization of Anatomical Targets in Retinal Surgery
Certain surgical procedures require a high degree of precise manual control within a very restricted area. Retinal surgeries are part of this group of procedures. During vitreoret...
Ioana Fleming, Sandrine Voros, Balázs V&aac...