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dfkivideo uploaded a new video
(1 week ago)
In this video the Lunares mission in DFKI's Space TestBed is shown. Firs...
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In this video the Lunares mission in DFKI's Space TestBed is shown. First the rover is reconfigured with a payload, then drives together with the Scout Scorpion to the crater rim. Here the Scorpion is detached and climbes down into the crater to pick up a sample. It climbs up the crater and the sample is transported back to the lander.
For more information please visit http://www.dfki.d... .
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dfkivideo uploaded a new video
(3 months ago)
This video shows different projects from the robotics group of the DFKI ...
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This video shows different projects from the robotics group of the DFKI Bremen.
The DFKI Robotics Research Group, headed by Prof. Dr. Frank Kirchner, develops mobile robot systems which are able to solve complex tasks on land, under water, in the air or in space. These design concepts benefit from the variety of nature: climbing/walking four-, six-, or eight-legged robots, snake-like underwater vehicles, and two-armed transport robots resemble patterns from a natural environment, combining advantages of new materials with successfully evolved forms of locomotion and forms.
Benefiting from the basic application-oriented research of the Robotics Group at the University of Bremen headed by Prof. Frank Kirchner, scientists at the Robotics Lab develop applicable solutions for underwater robotics, space robotics, logistic, production, and consumer (LPC), Search and Rescue (SAR) systems, security robotics, and cognitive robotics.
In the framework of direct industrial orders or publicly funded joint projects, the Robotics Research Group designs and realizes intelligent, cognitively adequate robot systems as well as entire complex, integrated systems for a variety of applications, focusing on a rapid transfer of results of basic research into real-world applications.
The German Research Center for Artificial Intelligence (DFKI GmbH) with facilities in Kaiserslautern, Saarbrücken, and Bremen and a project office in Berlin is the largest research center in the field of artificial intelligence worldwide.
For more information please visit: http://www.dfki.d...
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dfkivideo uploaded a new video
(4 months ago)
The term Augmented Vision (AV) describes the insertion of additional dig...
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The term Augmented Vision (AV) describes the insertion of additional digital content into the visual perception. The goal is to support people with context aware information without distracting them from their tasks.
In this CeBIT 2009 demonstrator, our novel 3D hand recognition system serves as a natural interaction device applied on the example of a maintenance task. Our vision based system not only computes the 3D position of the user's hand in real time, but also recognises his/her gestures, allowing an intuitive interaction with a complex machine - here an industrial pump. The user can easily get information about the pump's state by pointing to one of the parts and grabbing the information in form of state indicators and graphical information.
This demonstrator has been developed whithin the scope of the BMBF project AVILUS+.
For additional information, please visit http://www.dfki.d...
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dfkivideo uploaded a new video
(4 months ago)
Mitigating advanced DDoS Attacks is a tough task. This video shows a sys...
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Mitigating advanced DDoS Attacks is a tough task. This video shows a system, which is able to mitigate even sophisticated HTTP-GET attacks using machine learning techniques. Furthermore, multiple Open Source tools are shown in action: "BoNeSi" the botnet simulator, "repache" a HTTP user simulation and "nf-hishape" a high performance
DDoS firewall. (http://netsec.iupr.com)
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dfkivideo uploaded a new video
(5 months ago)
A BRIO®labyrinth game was equipped with two servo motors and two potenti...
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A BRIO®labyrinth game was equipped with two servo motors and two potentiometers that allow for the remote control and measurement of the orientation of the games board.
The board is mounted on a platform, and a camera is placed above this platform which allows the current position of the ball on the board to be estimated. For this purpose, a vision algorithm hasbeen developed which segments the ball in the camera image and maps the position of the ball inthe image onto a position in the labyrinth coordinate system. The mapping is calibrated automatically at the begining of each session using landmarks. Furthermore, a ball depot is currently beingdeveloped that will be mounted on the game and will allow more than one session to be playedwithout having to put the ball back manually.
Moreover, we have developed a physical simulation of this game using the Open Dynamics Engine.The goal of studies in the field of machine learning is to investigate how for example Reinforcement Learning (RL) algorithms can be appliedto large-scale, real-world problems. These problems are challenging for standard RL algorithmssince they are inherently noisy, have continuous state and/or action spaces and are potentially onlypartially observable.
The BRIO®labyrinth game is also used as a testbed for neurobiological studies ofsensorimotori integration, where human subjects are confronted with different tasks related to theBRIO®labyrinth game (prediction, control, etc.). For example, electroencephalography (EEG) andfunctional magnetic resonance imaging (fMRI) studies will be carried out where human subjectslearn to play the game. This might provide some insights into the way the human brain automatesbehavior and in this way learns certain skills.
For more information please visit http://robotik.df...
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