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M Maarten Steinbuch

Researcher at Eindhoven University of Technology

Publications -  631
Citations -  13231

M Maarten Steinbuch is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Control theory & Robust control. The author has an hindex of 51, co-authored 630 publications receiving 11892 citations. Previous affiliations of M Maarten Steinbuch include Nanyang Technological University & Delft University of Technology.

Papers
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Book ChapterDOI

Robot-assisted vitreoretinal surgery

TL;DR: A robotic system to assist in vitreoretinal procedures has been developed, extending human capabilities beyond current limitations, and a successful peel of the inner shell membrane of the chorioallantoic membrane of a chicken egg has been achieved.
Journal ArticleDOI

A representation method based on the probability of collision for safe robot navigation in domestic environments

TL;DR: This paper introduces a three-dimensional volumetric representation for safe navigation based on the OctoMap representation framework that probabilistically fuses sensor measurements to represent the occupancy probability of volumes and shows that by relating this probability to a safe velocity limit a robot in a real domestic environment can move close to a certain maximum velocity but decides to attain a slower safe velocitylimit when it must.
Journal ArticleDOI

Iterative learning control with wavelet filtering

TL;DR: In this article, a wavelet filtering method is proposed to identify and remove the non-repetitive disturbances by a comparison of the time-frequency content of two error realizations for each iteration of ILC.
Journal ArticleDOI

Effects of using synthesized driving cycles on vehicle fuel consumption

TL;DR: In this paper, the effects of using synthesized DCs on fuel consumption are investigated considering three different vehicle models: conventional ICE, and full hybrid and mild hybrid electric vehicles, and the results show that short but representative synthetic DCs will results in more realistic fuel consumption estimates (e.g. in the 5%-10% range) and in much faster simulations.
Proceedings ArticleDOI

H 2 performance analysis of reset control systems

TL;DR: It is shown that reset control can outperform a linear controller obtained via a standard multiobjective control design method through convex optimization problems in terms of LMIs to compute an upperbound on the H2 norm.