Diplomandenseminar

Die AG Robotik von der Universität Bremen bietet in Kooperation mit dem Robotics Innovation Center von der DFKI GmbH eine ganze Reihe von Seminaren und Vorträgen an. In dieser Reihe sind die Bachelor-, Master- und Diplomarbeiten enthalten. Die Termine werden hier regelmäßig aktualisiert. Externe können in vielen Fällen nach Rücksprache mit dem Sekretariat an den Vorträgen teilnehmen.

Undergraduated Seminar

 -  01:00 pm
Exposé
A specific field of application for resident Autonomous Underwater Vehicles (AUVs) is in under-ice environments, both on the terrestrial and extra-terrestrial settings. In such environments, the underwater docking process is a critical aspect as this allows AUV to return for charging, data transmiss…

 -  02:30 pm
Exposé
Dynamic legged locomotion is a challenging control task in modern robotics, as the body is underactuated during many gaits and the contact forces of the feet are constraint due to motor limits and friction forces. A modern approach to tackle these challenges is Model Predictive Control (MPC) where t…

 -  02:00 pm
Exposé
Der lunare Mikro-Rover im Projekt SAMLER-KI muss semiautonom in einer herausfordernden und potenziell riskanten Umgebung auf dem Mond agieren. Diese Arbeit konzentriert sich darauf, ein Gefahrenerkennungs- und -vermeidungssystem zu entwickeln, das dem Rover ermöglicht, auf der Mondoberfläche effizie…

 -  01:00 pm
Exposé
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…

 -  01:00 pm
Kolloquium

Ambient Air Pollution Prediction

from: Hannes Gelbhardt  (Universität Bremen)
Accurately predicting air pollutant concentration remains challenging but essen- tial in preventing the public from being exposed to high concentrations that lead to several hundred thousand premature deaths across Europe yearly (European Environment Agency, 2023). This research focuses on enhanci…

 -  01:00 pm
Zwischenbericht
Multi-agent deep reinforcement learning (MADRL) is a powerful approach that enables agents to coordinate and collaborate to solve complex collaborative tasks. Applications of MADRL range from robotics to traffic control and resource allocation. However, the learning process can be slow, especially w…

 -  01:00 pm
Kolloquium

Cosserat Rod-based Kinetostatic Analysis of a 6-RUS Parallel Continuum Robot

from: Vinayvivian Pedrick Rodrigues  (RWTH Aachen)
Continuum manipulators have historically been considered serial devices, perhaps because they typically have a long slender form, and the dominant geometric modeling paradigm is constant curvature arc segments tangentially connected in series. However, as some researchers have noted, many continuum …

 -  01:00 pm
Kolloquium
Nonlinear systems' control presents a significant challenge and has attracted considerable interest within the research community. In this study, reinforcement learning-based control is explored, a method that has shown promising results across various applications. The focus is placed on an underac…

 -  01:30 pm
Exposé
Learning robot behaviors in simulation has the advantages of being faster, safer and cheaper than learning on a real system. In exchange, the problem of Simulation Optimization Bias is introduced, which is caused by discrepancies between the model and the real system, commonly referred to as the Sim…

 -  01:00 pm
Exposé
At DFKI there are several projects related to dynamic applications. The development of a robot that can operate effectively in dynamic environments is becoming increasingly important for several reasons such as demographic, environmental changes and ambitious space missions. Therefore, Much  re…

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last updated 06.09.2024