Undergraduated Seminar

 -  01:00 pm
Zwischenbericht

Model Predictive Controller for 3-dof free floating platform with binary actuated thrusters and reaction wheel

from: Franek Stark  (Universität Bremen)
Air-bearing-based platforms are used to simulate microgravity on Earth. Therefore, these platforms can be used to test for example Active Space Debris Removal (ASDR) maneuvers. European Space Agency’s Orbital Robotics and GNC Lab (ORGL) features a 5m × 9m flat floor. A 220 kg heavy air-bearing platf…
 -  02:00 pm
Kolloquium

Mechatronic Design and Control of an Underactuated Three-link Brachiation Robot

from: Shourie Grama Srinivas  (École Centrale de Nantes, Nantes, France)
Brachiation is a type of locomotion achieved by swinging from place to place, employed by Monkeys (mostly Gibbons). During brachiation, if the Gibbon encounters a distant branch such that it is expected to have a dynamic free flight phase in its motion, this rapid motion mode is called 'Fast Brachia…
 -  01:30 pm
Exposé

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

from: 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…
 -  12:30 pm
Exposé

Robot state estimation using Synthetic RGB images

from: Vasantakumaar, Naren  (Universität Bremen)
The aim of this thesis is to use a camera as a cost-effective alternative to the expensive retrofitting of sensors for state estimation of the manipulator. Determining the state of robot joints from images has always been a challenge in the field of computer vision and robotics. Thus, determining th…
 -  12:00 pm
Zwischenbericht

Episodic Lang-Term Memory for Planetary Robotics Autonomous Navigation

from: Andre Felmet  (Universität Bremen)
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…
 -  11:30 am
Exposé

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

from: 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…
 -  01:30 pm
Exposé

Kinetostatic Analysis of a 6-RUS Parallel Continuum Robot

from: 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 …
 -  01:00 pm
Kolloquium
Cartesium Rotunde

Development of a vertical Launch and Recovery System for the AUV DeepLeng

from: Jonas Pollex  (Universität Bremen)
The project Europa Explorer (EurEx) of the German Research Center for Artificial Intelligence is developing systems for future exploration missions to the Jovian moon Europa at an early stage. EurEx aims to provide the systems or parts of them for real missions in the future. One of those systems is…
 -  12:30 pm
Exposé

Examining the Potential of VVAD-LRS3: A Comprehensive Cross-Comparison throughout State-of-the-Art VVAD Data Sets

from: 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…
 -  01:30 pm
Exposé

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

from: Cedric Kränzle  (Universität Bremen)
Visual Voice Activity Detection (V-VAD) is the task to determine whether a person is speaking, based on images or video footage. It is a central point in Human Computer Interaction, as it is one of the first signals that can indicate that a human is interacting with a computer. Two new big datasets…
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last updated 31.03.2023
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