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.

Vorträge

 -  13:30 Uhr
Exposé

Unified model for Grasp stability estimation

von: Prithvi Sanghamreddy  (Universität Bremen)
Grasp stability is one of the main concerns in the field of robotics, as it directly impacts the effectiveness and safety of robotic manipulation tasks. Grasping an object and evaluating the grasp is an important task when we use robotic hands. Establishing robotic hands that can securely hold and m…
 -  13:00 Uhr
Exposé

Enhancement and Evaluation of an AUV's Docking Station Detection with Deep-Learning Based Object-Detection

von: Faraz Ahmad  (Constructor University)
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…
 -  14:30 Uhr
Exposé

Adaptive Footstep Planning for Model Predictive Control of a Quadruped Robot

von: Hannah Isermann  (Universität Bielefeld)
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…
 -  14:00 Uhr
Exposé

Konzeptionelle Entwicklung eines Gefahrenerkennungs- und Vermeidungs-Systems für den lunaren Mikrorover im Projekt SAMLER-KI

von: Sireen Al Semadi  (Universität Bremen)
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…
 -  13:00 Uhr
Exposé

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…
 -  13:00 Uhr
Kolloquium

Ambient Air Pollution Prediction

von: 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…
 -  13:00 Uhr
Zwischenbericht

Adversary-driven Exploration in Coordinative Multi-Agent Deep Reinforcement Learning

von: Tim Schnauder  (Universität Bremen)
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…
 -  13:00 Uhr
Kolloquium

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

von: 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 …
 -  13:00 Uhr
Kolloquium

Reinforcement Learning-based Control for Swing-up and Stabilization of an Underactuated Double Pendulum System

von: Chi Zhang  (Technische Universität München)
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…
 -  13:30 Uhr
Exposé

Model Complexity Adaptation of a Physical World Model for Learning Transferable Behaviors in Simulation for a Real-World Robotic System

von: Antonia Holsten  (Universität Bremen)
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…
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zuletzt geändert am 06.09.2024