Undergraduated Seminar

 -  11:15 am
Kolloquium

Data driven modeling and optimal manipulator control

from: 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…

 -  01:00 pm
Kolloquium

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
Kolloquium
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…

 -  03:00 pm
Exposé

Graph-based Projected Entangled-Pair State with GPU Acceleration

from: Alexander Krug  (Universität Bremen)
Exposé

 -  02:00 pm
Kolloquium

Online Terrain Traversability Estimation for Wheel-Legged Rover Exploration

from: 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…

 -  02:00 pm
Zwischenbericht
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…

 -  01:00 pm
Kolloquium
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…

 -  02:00 pm
Exposé

Hybrid-Driven State Estimation for a Humanoid Robot

from: 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…

 -  01:00 pm
Kolloquium
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 …

 -  02:00 pm
Exposé
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 …

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last updated 31.03.2023