Hosted this time by Jeannette Bohg
Text: Kathryn Ryan. New Rochelle, February 21, 2017.
Robotics researchers have developed a novel adaptive control approach based on online learning that allows for the correction of dynamics errors in real time using the data stream from the robot. The strategy is described in an article published in Big Data, a peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Big Data website until March 14, 2017.
Guest edited by Jeannette Bohg, Matei Ciocarlie, Javier Civera, Lydia E. Kavraki.
... new big data methods have the potential to allow robots to understand and operate in significantly more complex environments than was possible even in the recent past. This should lead to a qualitative leap in the performance and deployability of robotics in a wide array of practical applications and real settings.
Medal-Marathon for Robotics Researcher
Tübingen – Stockholm – Berlin – Stockholm – Tübingen; Ludovic Righetti receives within 24 hours two renowned prizes for young researchers for his outstanding science on movements of robots
Autonomous Robots made in Tübingen
Als Haushaltshilfe, Pflegeassistent oder Katastrophenschützer taugen Roboter nur, wenn sie lernfähig sind und zumindest ansatzweise selbstständig handeln können. Stefan Schaal und die Mitarbeiter seiner Abteilung am Max-Planck-Institut für Intelligente Systeme in Tübingen bringen den Maschinen diese Flexibilität und Autonomie bei.
Intelligent Systems Research: Spanning the Length Scale
Stuttgart / Tübingen. Five years of basic research is secured: The physicist Dr. Laura Na Liu and the computer scientist Dr. Ludovic Righetti, both from the Max Planck Institute for Intelligent Systems, receive an ERC Starting Grant of 1,5 Million Euro, respectively. Prof. Jan Peters, head of the robot learning group at the institute (while mainly active as full professor at the TU Darmstadt) will invest part of his ERC starting grant into his research group at the institute. The researchers have won against 3.273 applicants - only 10 per cent of the submitted project appraisals receive the requested award, granted by the European Research Council (ERC).