Welcome to the Institute for Artificial Intelligence!
The Institute for Artificial Intelligence (IAI) directed by Prof. Michael Beetz is part of the Faculty of Computer Science and member of the Center for Computing and Communication Technologies (TZI) at the University of Bremen.
Probabilistic Action Cores (PRAC) system has a new web interface: PRACWeb which allows users to test out on smart devices the capabilities of the system. PRAC system is the implementation of a novel approach for probabilistic high-performance natural-language interpreter. The interpreter has a knowledge-driven approach. It is inspired by concepts of cognitive psychology and models actions as abstract event types. PRACWeb allows the user to generate robot-executable plans from natural-language instructions. PRAC relies on pracmln, which is a toolbox for statistical relational learning and reasoning. It includes tools for standard graphical models (in particular, MLNs). The web interface of pracmln is WebMLN. It allows the users to try out the capabilities of pracmln system.
“Cognition-enabled Robotics: Democratising a Disruptive Technology” was the theme discussed this year. The event gathered together renowned researchers in the fields of Artificial Intelligence and Robotics.
The reception of the event took place in the laboratory of the Institute for Artificial Intelligence from University of Bremen with live demonstrations on robots and virtual reality and poster session for the other software systems developed here.
The event continued with the talks of the invited researchers. Prof. Dr. Yiannis Aloimonos from The University of Maryland presented an overview of grammar of actions. Digital innovation platforms for robotics were discussed by Prof. David Lane from Heriot Watt University. Prof. Gordon Cheng from Technical University of Munich discussed the robots in the age of innovation. Memory systems for robotic agents was the subject addressed by Prof. Tony Belpaeme from Plymouth University. Prof. Gregory O’Hare, PhD from University College Dublin discussed the autonomous robots and intelligent environments. The robots co-workers were the subject of the talk of Prof. Dr. Alin Albu-Schaeffer from Institute of Robotics and Mechatronics of DLR. Prof. Dr. Markus Vincze from the Technical University of Vienna discussed the available open source libraries for robot perception. The challenges imposed by robot-centred knowledge representation were addressed by Prof. Dr. Herman Bruyninckx from the University of Leuven. Dr.-Ing. Georg von Wichert from Siemens AG and Dr.-Ing. Amos Albert from Bosch Deepfield Robotics were discussing the democratising a disruptive technology.
The discussions were moderated by Prof. Dr.-Ing. Bernd Scholz-Reiter, the rector of the University of Bremen, Prof. Dr.-Ing. Tanja Schultz and Prof. Dr. Rainer Malaka professors at University of Bremen and Prof. Dr.-Ing. Katja Windt, the rector of the Jacobs University Bremen and Prof. Dr. Andreas Birk professor at the Jacobs University Bremen and Dr. Uwe Haass from RoboConsult.
The opening and welcoming of the event were given by Prof. Dr. Eva Quante-Brandt from Minister for Health, Science and Consumer Protection of Bremen respectively Prof. Dr. Helge Bernd von Ahsen from Wolfgang-Ritter-Stiftung.
"Inferring the Effects of Wiping Motions Based on Haptic Perception" Best Paper Finalist at Humanoids 2016
We are very happy to announce that the paper authored by Daniel Leidner from Robotics and Mechatronics Center of DLR and Prof. Michael Beetz, PhD from Institute or Artificial Intelligence was nominated for The Best Interactive Paper Award at Humanoids 2016.
The paper presents how the haptic perception paired with a qualitative effect representation can be used to reason about the task performance of robotic wiping motions despite poor visual information. The proposed approach relates the desired contact force to the measured end-effector force in order to simulate the effect of the previously executed wiping motions. In this way the proposed approach is able to replan recovery motions after it successfully distinguished good from bad contact situations, w. r. t. the desired effect. The proposed approach was evaluated on a set of experiments with the robot Rollin' Justin.
Our department was chosen as one of the 16 finalists for the EU's ICT innovation radar prize 2016. List here
Two of our team members, Alexis Maldonado and Daniel Nyga, traveled to Bratislava to attend the EU's ICT Proposer's Day (26th of September 2016). They presented OpenEASE to a jury of four business experts and many attendees. We also had the chance to show the OpenEASE system live at the Innovation Booth.
Our innovation was very well received and we discussed about our plans for the future. Congratulations to all the finalists and winners of the ICT innovation radar prize!
The Innovation Radar is an initiative of the European Commission focused on the identification of high potential innovations and the key innovators behind them in FP7, CIP and Horizon 2020 projects. It supports innovators by suggesting a range of targeted actions to assist them in fulfilling their potential in the market.
openEASE, as a novel cloud-based knowledge service which helps robots to accomplish vaguely stated actions by filling in missing knowledge pieces on demand, is a candidate for this award in the category of Industrial & Enabling Tech.
For more information, you can visit our award profile. You also have the chance of voting for us as your favourite innovator in this profile.
Prof. Michael Beetz PhD
Head of Institute
Dr. habil. Hagen Langer
Prof. em. Dr. Otthein Herzog
Open Knowledge for