We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
— 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...
– 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...
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 ...
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...