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
Zwischenbericht

Enhancing Human-Robot Dialogue with Visual Voice Activity Detection

from: 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…

 -  01:30 pm
Exposé
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…

 -  01:00 pm
Zwischenbericht
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…

 -  02:00 pm
Zwischenbericht
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…

 -  01:00 pm
Kolloquium
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…

 -  09:00 am
Zwischenbericht
Guiding exploration of the environment via disagreement is a common approach in model-based ensemble learning methods. For the effectiveness of the approach, the ensemble diversity is a crucial property. In this work, we investigate the usage of a state-of-the-art multi-modal optimizer to generate a…

 -  01:00 pm
Exposé
Bipedal and quadruped robots are advancing rapidly, showcasing remarkable abilities in traversing complex terrains and executing diverse tasks. Central to their performance is the accurate detection of foot-toground contact, crucial for maintaining stability and balance. Particularly in challenging …

 -  01:00 pm
Kolloquium
In the recent decades, many missions have been undertaken to investigate Europa, one of Jupiter’s moons. It’s surface consists of a thick ice crust which covers a deep ocean underneath it. To inspect the ocean a system was conceptualized at DFKI Bremen which would drill through the ice and then depl…

 -  02:00 pm
Kolloquium
Long-term autonomous robotic missions, especially in isolated environments, have to cope with various challenges, e.g., limited possibilities for maintenance or recovery in case of failure. Better adaptation of the robot to its environment is therefore the first step towards a more robust behavioura…

 -  01:00 pm
Kolloquium

Evaluation of metrics for human-like grips

from: Florian Seidler  (Universität Bremen)
Human hands effortlessly navigate a diverse range of objects, adjusting grasp strength, finger placement, and overall hand configuration. In contrast, implementing a comparable level of dexterity in robot hands demands a precise understanding of not only the physical mechanics involved but also the …

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last updated 06.09.2024