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

 -  14:00 Uhr
Kolloquium

Adaptive Footstep Planning for Model Predictive Control of a Quadruped Robot

von: Hannah Isermann  (Universität Bielefeld)
Colloquium
 -  13:00 Uhr
Kolloquium

Real-time Dynamic Gesture Recognition for Human-Robot Collaboration

von: Shefali Dewangan  (Universität Bremen)
The primary goal of the thesis is to enhance human-robot collaboration by addressing the challenge of real-time dynamic gesture recognition. This initiative is a significant part of the ROMATRIS project, funded by THW at the DFKI, and the focus of the thesis is on the identification and real-time in…
 -  14:00 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…
 -  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…
 -  13:00 Uhr
Kolloquium

Robot state estimation using synthetic RGB images

von: Vasantakumaar, Naren  (Universität Bremen)
This thesis investigates the state estimation of a multi-joint object such as an excavator, by predicting the joint angles using synthetic RGB images as input. The research is to use RGB camera as an economical alternative to expensive retrofitting sensors for state estimation task of a manipulator.…
 -  12:00 Uhr
Kolloquium

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

von: Antonia Holsten  (Universität Bremen)
The pursuit of robotic autonomy is a long-standing ambition motivated by the need for robots to operate independently in dynamic and complex environments, such as space exploration and deep-sea missions. This thesis addresses the simulation-to-reality problem, where the transfer of robotic behaviors…
 -  15:00 Uhr
Exposé

Graph-based Projected Entangled-Pair State with GPU Acceleration

von: Alexander Krug  (Universität Bremen)
Quantum algorithms promise to provide speedups or even solutions to previously unfeasible problems. As quantum computing matures, benchmarks are needed as a standardized method to evaluate and compare different quantum computing platforms. Hamiltonian evolution serves as a well studied problem setti…
 -  14:00 Uhr
Kolloquium

Online Terrain Traversability Estimation for Wheel-Legged Rover Exploration

von: Yogeshkarna Govindaraj  (Hochschule Bonn-Rhein-Sieg)
In robotics, traversability, the ability of a robot to navigate challenging terrains, remains a significant challenge due to limitations in design, perception, and computation. The hybrid wheel-legged design, exemplified by the SherpaTT rover, offers enhanced mobility in unstructured terrain. Curren…
 -  14:00 Uhr
Zwischenbericht

Learning State Transition Functions of a Hydraulic Excavator using Data Driven Deep Learning

von: Jayanth Somashekaraiah  (Universität Bremen)
In this thesis, a neural network model is trained to learn the state transition function of a hydraulic excavator arm or a crane using data driven approach. The excavator arm or crane exhibits highly non linear behaviour due to hydraulic coupling between its actuators, non linearities in valves, par…
 -  13:00 Uhr
Kolloquium

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…
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zuletzt geändert am 06.09.2024