Machine learning

Roboter learns the Greifen from Menschen










Quelle: Innovation Campus Mobilität der Zukunft, Universität Stuttgart




4 minutes Lesedauer




Offer for Theme



The IFL is involved at the Karlsruhe Institute of Technology and the IAS at the University of Stuttgart with a robot that pays a high degree of attention while learning. It is possible to build a research infrastructure made in Germany with the ICM-Zukunftslabor Hapt-X-Deep.


Team work for the Zukunft: Edgar Welte and junior professor Rania Rayyes in Zukunftslabor Hapt-X-Deep – joint development of a learning robot system that emulates human capabilities. (Photo: Amadeus Bramsiepe, KIT)
Team work for the Zukunft: Edgar Welte and Junior Professor Rania Rayyes in Zukunftslabor Hapt-X-Deep – combined with a learning robot system that supports humans as best as possible.


(Photo: Amadeus Bramsiepe, KIT)




Edgar Welte snaps his finger to the sky and the robot gives the human a handgrip. So it is most useful in naher Zukunft sein. Now that the Forscher has found the robot and the humanoid Shadow Dexterous Handfern with the Virtual Reality Glove from Hapt-X, the direct power goes to a worker.


Research by Doctor and Junior Professor Rania Rayyes at ICM Zukunftslabor Hapt-X-Deep at the Institute for Fördertechnik and Logistics Systems (IFL) from KIT, a robot system that distinguishes itself from the people who are treated incorrectly by the imitation. The German army first worked with the complete system from the Shadow Robot company in Karlsruhe, and the research work was used at the Institute for Automation Technology and Software Systems (IAS) of the University of Stuttgart.


The Institute is working on a learning robot with a Greif system, which can work quickly and flexibly and respond to changing requirements, product designs or alien materials. Financing worth EUR 200,000 for ICM infrastructure.


Imitation learning: Roboter learns wie Auszubildende


Programming robots for industry is a lengthy process. After writing the codes, follow the tests and history of the device, so often the machine is running a process. These learning phases are long for the product’s production technology, which can cause fast processing speed. “Einen Roboter einsatzbereit zu machen, dare in Zukunft nicht mehr longer dauern, as einen new Mitarbeiter einzulernen,” said Edgar Welte.



Präzise Nachahmung: Die humanoide Shadow Dexterous Hand in Zukunftslabor Hapt-X-Deep imitates the Movements a human hand – a separated Schritt for the intuitive Learners of Robotern. (Image: Amadeus Bramsiepe, KIT)
Präzise Nachahmung: The humanoid Shadow Dexterous Hand in Zukunftslabor Hapt-X-Deep imitates the Movements a human hand – a separated Schritt for the intuitive learning of Robotern.


(Photo: Amadeus Bramsiepe, KIT)




Your soul will be happy, your team will benefit from the Robotern and the Learning of Men. Whoever calls on his mistresses and masterful teachers, will call on an operator in his robot system, who uses new work sows, uninterested materials, complete work processes or respond to changes in production processes. “Wir setzen for our System Autonomous Imitation Learning and Deep Reinforcement Learning ein. The robot learns the high quality of interaction with the intuitive and gentle human being,” says Rania Rayyes. During the Ansatz exploration it is possible to run programs at the desired time.


Hapt-X-Deep treibt Mensch-Maschine-Kommunikation voran


Menschliches Lernen is an Information Sausage. Die Beteiligten spread me, interpret visual information and set Rückfragen. I am a Hapt-X-Deep laboratory that combines the Forschenden with the roboter for dating. Edgar Welte uses the Hapt-X-Glove data and develops the safe cobot, no matter who pulls and works or packs workpieces. Thanks to the 20 Stellmotors, the Shadow Dextorous Hand can achieve the human Greifbewegungen quickly and accurately, better than any other Greifarm on the market. The pressure sensors in the mechanical fingers are guided by the operator Feedback. Edgar Welte spürt durch small Luftpolster im Hapt-X-Glove, sobald the weight zunimmt or the Workzeug valsch in der Hand liesgt. Dann is faster than ever and Greifer is happy with this.




Bewerben Sich jetzt für de Automation App Award 2024!


automation app award 2024


automation app award 2024     

Have you used an app or software version that enables the automation strategy in your work? Dann machen Sie schnell en costlos bis zum 4. This month with the automation app prize, one of the best automation apps available..


    




Der Forscher corrects the Fehler des Roboters in Echtzeit. There is a certain function that the machine can use to learn its intelligent intelligence. “Because the unlimited costs can be exceeded, systems can expand our systems and save for a labor for the nose programming,” explains Rania Rayyes.




View the InnovationsCampus Mobilität der Zukunft


The mobility and production of products are very efficient and efficient in Baden-Württemberg. Developing here for new technological technologies – with innovative production methods for long-term production processes. The Soul of Innovation Campus Mobilität der Zukunft (ICM) is that Walk in figures. At ICM, the University of Stuttgart and the Karlsruhe Institute of Technology (KIT) in the fight against innovation and innovation are developing great and flexible new technology, new insights and the basis for innovative innovations that you can purchase. Der ICM is one of Zukunft’s largest mobility and production initiatives in Germany.




The Zukunftslabor Hapt-X-Deep hat has a double function. It is the hardware for the hardware and the development of software-based technology and demonstrator for the high functionality. “It is one of the most special locations, that is my job with the highest possible employment provision,” said Edgar Welte. With the promotion for the theme “Interactive imitation learning for dexterous manipulation” there is a separate page with the best solution for the gesamtsystem. Daneben is included in Hapt-X-Deep noch Projekte zur SensoryAlternative teleoperation methods with motion tracking or control of the non-operated fingers.


It is possible to cooperate with external partners such as Bosch AI or other high school institutions. “Hapt-X-Deep soll in der Reschung möglichst btwe Türen öffnen”, explains Rania Rayyes. A davon führt und IAS der Universität Stuttgart zur Gruppe von Juniorprofessor Andrey Morozov. Im Rahmen von Kooperationsprojekten, the Forschenden in Stuttgart methods were developed, a Sicherheit and the Zuverlässigkeit des anpassungsfähigen Roboters die gewährleisten.





Roboter optimizes itself during fehlererrecognition


Performing digital data processing was made possible as a test version of systems using the Deep Learning system, which allows the robot to recognize and reject deviations. This solution is based on the fact that it can be corrected autonomously. Discover the software in Stuttgart and test it in IFL’s real laboratory at KIT. Hapt-X-Deep is a state-of-the-art infrastructure for the infrastructure and the best solutions for the ICM that brings the best combinations of the parts of the country, a common rapid solution for Human Robot Learning.


(ID:50259995)





Sitemap of zpceyoramt.remcity72.ru

Cannabis News RSS Feeds: Weedrss.com

1000+ unique media and news posts every 24 hours…

Published 2 hours ago
Published 7 hours ago
Published 13 hours ago
Published 16 hours ago
Published 17 hours ago
Published 17 hours ago
Published 20 hours ago
Published 21 hours ago
Published 21 hours ago
Published 21 hours ago
Published 22 hours ago