Graduiertenseminar/ Brown Bag Talks

 -  13:00 Uhr
Externer Vortrag
RH5 117

MEDUSA: an example of miniature ASC

von: Dr. Jean Blondeau  (FTI Engineering Network GmbH)
Small ASC´s (Autonomous Surface Craft) can become cheap and reliable tools for monitoring sea traffic and environment. A few examples will be presented for uses, mission control and swarm deployment.

 -  12:00 Uhr
Externer Vortrag
RH5 117

Assistance Systems for the Remote Control of Rovers in Harsh Environments

von: Prof. Klaus Schilling  (Technische Informatik, Uni Würzburg)
The increased capabilities of robotic vehicles to handle in autonomous or tele-operated way complex tasks have been demonstrated impressively at recent competitions, like the "Grand Challenge" in USA (2004, 2005, 2007) or at ELROB in Europe (2006, 2007). The techniques used for these robot…

 -  12:00 Uhr
Externer Vortrag
RH5 117

Baurobotik

von: Prof. Thomas Bock  (LS fuer Baurealisierung und -informatik TU Muenchen)
First construction robots had been designed in the beginning seventies in order to increase the quality in prefabrication of modular homes in Japan and the late 70ies planning started for use of robots in construction sites. In the 80ies the first construction robots appeared on sites and in the 90i…

 -  12:00 Uhr
DFKI Vortrag
RH5 117

Autonomous Units for Formal Modeling

von: Karsten Hölscher  (DFKI Bremen)
Data processing of today (like communication networks, multiagent systems, swarm intelligence, ubiquitous, wearable and mobile computing) is often distributed and comprises various components that run partially independent of each other, but may access and update the same information structures, com…

 -  12:00 Uhr
Externer Vortrag
RH5 117

Robotics Technologies for On-Orbit-Servicing

von: Dipl.-Ing. Klaus Landzettel  (DLR (Deutsches Zentrum für Luft- und Raumfahrt)e.V.)
The increasing number of launched satellites per year, calls for solutions to keep free operational space for telecommunication systems in geo-synchronized orbit, as well as to avoid the endangering of space systems in LEO and of the public living in the habited parts on Earth. A feasible way to ha…

 -  13:00 Uhr
Externer Vortrag
RH5 117

Reinforcement Learning in Continuous State and Action Spaces

von: Victor Uc Cetina  (Humboldt Universität zu Berlin, AG Künstliche Intelligenz)
In this talk I present some reinforcement learning architectures and algorithms designed to solve robot control problems with continuous state and action spaces, where the use of function approximators to represent the value functions is a must. I start by defining an architecture for supervised rei…

 -  13:00 Uhr
DFKI Vortrag
RH5 117
An environment where virtual worlds coexist with real worlds, Mixed Reality, has been extensively studied in the last decade. Mixed reality is not restricted to a mixing of visual images or sounds, but include other phenomena (e.g., electric, mechanical, hydraulic, aerodynamic, thermodynamic). The e…

 -  13:00 Uhr
DFKI Vortrag
RH5 117

Qualitative Spatial Reasoning for Information Retrieval

von: Dr. Thomas Vögele  (DFKI Bremen)
In robotics, Qualitative Spatial Reasoning (QSR) is typically known in the context of robot navigation and task planning. Here, I will present an approach that uses methods derived from QSR for spatial information retrieval from structured and unstructured documents. This approach applies a low-leve…

 -  12:30 Uhr
Externer Vortrag
RH5 117

Environmental optics in monitoring marine hazards and resources

von: Prof. Dr. Oliver Zielinski  (Institute for marine resources, Bremerhaven)
Marine waters and especially coastal zones are subject to intensive utilization, such as transport, tourism, fisheries and energy generation. The assessment and monitoring of anthropogenic as well as natural threats and changes to the marine environment is crucial to understand their dynamics and to…

 -  13:00 Uhr
DFKI Vortrag
RH5 117

On the Interplay of Learning and Evolution

von: Dipl.-Inf. Jan Hendrik Metzen  (DFKI-Labor Bremen)
The behavior of species (i.,e. classes of similar natural agents) is optimized on different time-scales, ranging from long-term optimization of morphology and structure on the level of generations of agents (evolution) to short-term optimization of an agents behavior during its lifetime (learning). …

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zuletzt geändert am 31.03.2023
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