Diplomandenseminar

 -  11:15 Uhr
Kolloquium

Data driven modeling and optimal manipulator control

von: Adriano del Río Fernandez  (École Centrale de Nantes)
In the field of optimal control linear systems are generally desirable. In the case of model predictive control the benefit of a linear system representation is significant, as it implies convexity of the optimization problem and global optimality for every solution. In this context very interesting…
 -  14:30 Uhr
Exposé

Do different Quantum Optimal Control algorithms have an influence on the fidelity of one-qubit and two-qubit gates on superconducting systems?

von: Adrian Mellentin  (Universität Bremen)
Exposé
 -  14:00 Uhr
Exposé

Hybrid-Driven State Estimation for a Humanoid Robot

von: Lasse Hohmeyer  (Universität Bremen)
State estimation refers to all algorithms calculating the internal state of a robot. Since the true state is always unknown, it has to be estimated based on a series of noisy and inaccurate measurements. This is a crucial task in mobile robotics and a more accurate state estimation almost always lea…
 -  13:00 Uhr
Kolloquium

Examining the Potential of VVAD-LRS3: A Comprehensive Cross-Comparison throughout State-of-the-Art VVAD Data Sets

von: Karim Zanaty  (Rushford Business School)
Reliable recognition of people's gestures and mimics is crucial to a natural and intuitive interaction between robots (machines) and humans. Voice Activity Detection (VAD) may play a major role in this context. VAD algorithms detect if the person of interest is currently speaking or not. This can be…
 -  13:00 Uhr
Kolloquium

Outdoor navigation in uneven terrain using learning methods

von: Malika Helapita  (Hochschule Bonn-Rhein-Sieg (HBRS))
The challenge of robot navigation in uneven outdoor environments is demanding but important application for outdoor mobile robots. Classical geometric approaches have been employed to solve this problem but with limited success. When the terrain becomes exceedingly irregular or if there are tall gra…
 -  13:00 Uhr
Kolloquium

Exploration via Constructive Disagreement: Diversity in Ensemble-based Behavior Learning using Niching Migratory Multi-Swarm Optimization

von: Antonia Holsten  (Universität Bremen)
Guiding exploration of the environment via disagreement is a common approach in model-based ensemble learning methods. For the effectiveness of the approach, the ensemble diversity is a crucial property. In this work, we investigate the usage of a state-of-the-art multi-modal optimizer to generate a…
 -  13:00 Uhr
Kolloquium

Konstruktion eines Mechanismus zur Ermöglichung der Bein-Rotation in Exoskeletten

von: Jan-Philipp Brettschneider  (Hochschule Bremen)
Eine wiederkehrende Herausforderung bei Exoskeletten ist die Übertragung von Kräften und Momenten entlang virtueller Achsen, welche sich im menschlichen Körper befinden. Ein Beispiel hierfür ist die Rotation des Beines um dessen Längsachse. Dieser Freiheitsgrad wird von vielen Exoskeletten nicht abg…
 -  14:00 Uhr
Kolloquium

Control Strategies for a Rimless Wheel Micro-Rover

von: Dennis Schlee  (TU Darmstadt)
Rimless wheeled robots are a hybrid variant of traditionally wheeled and legged robots. These hybrid systems combine the benefits of both approaches, such as efficient power demands and good terrain traversability. However, the simplicity of the design of the rimless wheel has the disadvantage of li…
 -  13:30 Uhr
Exposé

Performance Evaluation of Quadratic Programming Solvers for Legged Robots on different Computer Architectures

von: Jakob Middelberg  (Universität Bremen)
Controlling highly dynamic systems, such as legged robots, can be a very challenging task and requires a lot of computational resources. Most modern control architectures use state-of-the-art control strategies involving Model Predictive Control (MPC). These controllers require an underlying Quadrat…
 -  14:30 Uhr
Zwischenbericht

Prototyping, development, and analysis of different contact detection methods for bipeds and quadrupeds

von: Mani Krishna Tippireddy  (Hochschule Stralsund)
Bipedal and quadruped robots are advancing rapidly, showcasing remarkable abilities in traversing complex terrains and executing diverse tasks. Central to their performance is the accurate detection of foot-toground contact, crucial for maintaining stability and balance. Particularly in challenging …
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zuletzt geändert am 31.03.2023