O
O. von Stryk
Researcher at Technische Universität Darmstadt
Publications - 33
Citations - 708
O. von Stryk is an academic researcher from Technische Universität Darmstadt. The author has contributed to research in topics: Robot & Humanoid robot. The author has an hindex of 16, co-authored 33 publications receiving 663 citations.
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Journal ArticleDOI
Modelling and simulation of electro- and magnetorheological fluid dampers
Torsten Butz,O. von Stryk +1 more
TL;DR: In this article, the basic properties of electro- and magnetorheological fluids and phenomenological models for whole devices and their applications are discussed. And numerical simulation results are presented for the passive suspension of a quarter vehicle model.
Journal ArticleDOI
Towards Bipedal Jogging as a Natural Result of Optimizing Walking Speed for Passively Compliant Three-Segmented Legs
TL;DR: This research investigates how compliance and damping can deliberately be used in humanoid robots to improve walking capabilities and finds a good match between real robot experiments and numerical simulations.
Proceedings ArticleDOI
Cooperation of heterogeneous, autonomous robots: A case study of humanoid and wheeled robots
Jutta Kiener,O. von Stryk +1 more
TL;DR: A case study of cooperation of a strongly heterogeneous robot team, composed of a highly articulated humanoid robot and a wheeled robot with largely complementing and some competing capabilities, is presented.
Journal ArticleDOI
Efficient Walking Speed Optimization of a Humanoid Robot
TL;DR: This work applies a sequential surrogate optimization approach using stochastic approximation of the underlying objective function and sequential quadratic programming to search for a fast and stable walking motion for the humanoid robot prototype HR18.
Journal ArticleDOI
Efficient forward dynamics simulation and optimization of human body dynamics
M. Stelzer,O. von Stryk +1 more
TL;DR: A new approach to the forward dynamics simulation and optimization of human body dynamics which overcomes the enormous computational cost of current approaches for solving the resulting optimal control problems is presented.