Searched for: contributor:"Babuška, R. (mentor)"
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document
Bayiz, Y.E. (author)
For single-agent problems, Reinforcement Learning (RL) algorithms proved to be useful learning optimal control laws for nonlinear dynamic systems without relying on a mathematical model of the system to be controlled. With their ability to work on continuous action and state spaces, actor-critic RL algorithms are especially advantageous in that...
master thesis 2014
document
Shirokov, V.A. (author)
In this project a challenge in the field of minimally invasive surgery is addressed. Contemporary minimally invasive instruments usually consist of a rigid beam with an end effector on one side and a controlling mechanism on the other. These instruments work well for cases when the body can be entered in such a way that the target, on which to...
master thesis 2012
document
Pen, S.J. (author)
This study investigates the evolutionary co-optimisation of fuzzy control and system parameters for the Resonating robot Arm (RA). The RA is a novel concept for a pick-and-place manipulator that uses a spring mechanism to reduce the required actuator torques. Since the performance of the total system depends on the combination of the spring...
master thesis 2012
document
van Oosten, R.P. (author), Peixó Marco, J. (author)
Wave transmission is often an important criterion in the design of a low-crested breakwater structure and influences early decisions on the type of structure and the applied construction material. In design stages classical formulae are used to predict the wave transmission coefficient Kt [-], but these formulae still show a considerable scatter...
master thesis 2005
Searched for: contributor:"Babuška, R. (mentor)"
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