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
Exposé

Entwicklung von Benchmarkings für Reinforcement Learning Environments zur Manipulation verformbarer Objekte

von: Rasmus Burwitz  (Universität Bremen)
Selbst lernende Roboter gewinnen zunehmend an Bedeutung. Zentraler Treiber dieser Entwicklung ist die Verbesserung zugrundeliegender Reinforcement Learning Algorithmen. Neben der Lerngeschwindigkeit ist auch die effiziente Nutzung bereitgestellter Rechenkapazitäten zur Simulation physikalisch möglic…
 -  15:30 Uhr
Zwischenbericht

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…
 -  15:00 Uhr
Zwischenbericht

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
Abschlussbericht

Navigation Approach for mobile Robots in social Environments

von: Saira Philip  (Universität Bremen)
Human-Robot Interaction(HRI) focuses on the communication and interaction between humans and robots. It is a rapidly evolving concept driven by advanced robotics and Artificial Intelligence. Social Robots are designed to interact and socially communicate with humans in a socially acceptable and mean…
 -  13:30 Uhr
Exposé

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
Zwischenbericht

Enhancing Human-Robot Dialogue with Visual Voice Activity Detection

von: Arunima Gopikrishnan  (Universität Bremen)
This research proposal addresses the pressing need for efficient human-robot communication channels in the context of visual interactions. The motivation behind this work is the growing significance of human-robot interaction and its potential to revolutionize various aspects of daily life. Although…
 -  13:30 Uhr
Exposé

Enhancing Robustness and Adaptability in Robotic Systems: A Quality-Diversity Approach to Addressing Wrong Initial Simulation Parameters and Optimizing Model Parameters

von: Joaquin Arias  (Constructor University)
In a dynamic environment, the capacity of a robot to adapt is crucial. Quality-Diversity (QD) algorithms, which produce multiple effective solutions, are effective at increasing adaptability through a descriptor function. For example, if a robot loses an extremity, thanks to the repertoire of soluti…
 -  13:00 Uhr
Zwischenbericht

Development of a highly backdrivable transmission for robotic applications

von: Mamdouh Abughonmi  (Jade HS Whv.)
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…
 -  14:00 Uhr
Zwischenbericht

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

Visual Voice Activity Detection with state-of-the-art video classifiers

von: Cedric Kränzle  (Universität Bremen)
Voice Activity Detection (VAD) is a key component in Human Robot Interactions, as it can be used to initiate interactions.There are audio and video based VAD systems, however both have their shortcomings. A recently presented dataset named VVAD-LRS3 enables the training of larger Deep Neural Ne…
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zuletzt geändert am 06.09.2024