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CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 8 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
78
Voted
ICRA
2009
IEEE
98views Robotics» more  ICRA 2009»
15 years 4 months ago
Path following for an omnidirectional mobile robot based on model predictive control
— In this paper, the path following problem of an omnidirectional mobile robot has been studied. Given the error dynamic model derived from the robot state vector and the path st...
Kiattisin Kanjanawanishkul, Andreas Zell
86
Voted
IROS
2006
IEEE
217views Robotics» more  IROS 2006»
15 years 3 months ago
Active SLAM using Model Predictive Control and Attractor based Exploration
– Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, a...
Cindy Leung, Shoudong Huang, Gamini Dissanayake
CBSE
2005
Springer
15 years 3 months ago
Real-Time Scheduling Techniques for Implementation Synthesis from Component-Based Software Models
We consider a class of component-based software models with interaction style of buffered asynchronous message passing between components with ports, represented by UML-RT. After ...
Zonghua Gu, Zhimin He
JCP
2008
216views more  JCP 2008»
14 years 9 months ago
Design Overview Of Processor Based Implantable Pacemaker
Implantable pacemaker is a battery operated real time embedded system, which includes software/hardware codesign strategy. As it is placed within the heart by surgery, battery life...
Santosh D. Chede, Kishore D. Kulat