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

 -  13:00 Uhr
Kolloquium

Design Optimization of the RH5 Humanoid Robot for Reinforcement Learning-Driven Pull-Up Performance

von: Tianyi Jin  (RWTH Aachen)
This thesis aims to advance the design optimization of the RH5 humanoid robot to enhance performance in high-effort tasks, specifically focusing on the pull-up exercise to evaluate upper body strength and endurance. The research addresses existing limitations in upper-body research of humanoid robot…
 -  13:00 Uhr
Kolloquium

Evaluating Visual SLAM Algorithms for a Micro-Rover in Lunar Environments with Constrained Resources

von: Ananya Verma  (Hochschule Bonn Rhein Sieg)
Autonomous micro-rovers offer a cost-effective approach for exploring lunar lava tubes and play an essential role in on-site operations. However, lunar rovers encounter significant challenges, including prolonged darkness and constrained resources. These constraints encompass factors such as process…
 -  13:00 Uhr
Zwischenbericht

Entwicklung und Regelung eines zweiarmigen Oberkörper-Klimmzugroboters

von: Ahmad Baker  (Universität Bremen)
In den letzten Jahren haben humanoide Roboter große Fortschritte in der dynamischen Regelung und der Integration drehmomentstarker Elektromotoren mit geringer Getriebeuntersetzung gemacht. Neue Entwicklungen erlauben ihnen komplexe Bewegungen, die eine hohe Leistungsdichte, Koordination und Präzisio…
 -  13:00 Uhr
Zwischenbericht

Evaluation of combined Few-short and continual learning approaches for Robotic perception

von: Saira Philip  (Universität Bremen)
State-of-the-art robotic learning frameworks struggle in typical real-world scenarios like dynamically changing or unseen environments that require robots to adapt quickly (few-shot and meta-learning). Furthermore, real-world settings require robots to continually learn without forgetting what they …
 -  13:00 Uhr
Zwischenbericht

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)
Today’s quantum processor architectures with more than 1000 superconducting qubits are getting closer to the goal of performing complicated calculations. However, the noisy intermediate-scale quantum (NISQ) devices that exist at this time are challenged by phenomena like leakage, cross talking betwe…
 -  14:00 Uhr
Zwischenbericht

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

Enhancing Human-Robot Dialogue with Visual Voice Activity Detection

von: Arunima Gopikrishnan  (Universität Bremen)
This thesis critically examines the integration of Visual Voice Activity Detection (VVAD) technology into human-robot dialogue systems, focusing on its potential to enhance communication in noisy environments. While traditional speech recognition systems excel in quiet settings, their performance de…
 -  13:30 Uhr
Zwischenbericht

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

Design Optimization of the RH5 Humanoid Robot for Reinforcement Learning-Driven Pull-Up Performance

von: Tianyi Jin  (RWTH Aachen)
This thesis aims to advance the design optimization of the RH5 humanoid robot to enhance performance in high-effort tasks, specifically focusing on the pull-up exercise to evaluate upper body strength and endurance. The research addresses existing limitations in upper-body research of humanoid robot…
 -  13:00 Uhr
Exposé

Entwicklung und Regelung eines zweiarmigen Oberkörper-Klimmzugroboters

von: Ahmad Baker  (Universität Bremen)
In den letzten Jahren haben humanoide Roboter große Fortschritte in der dynamischen Regelung und der Integration drehmomentstarker Elektromotoren mit geringer Getriebeuntersetzung gemacht. Neue Entwicklungen erlauben ihnen komplexe Bewegungen, die eine hohe Leistungsdichte, Koordination und Präzisio…
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zuletzt geändert am 06.09.2024