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Robotics and Intelligent Systems (ROBIN)

Our goal is to contribute to the development of ever more intelligent systems. This can be systems that in specific tasks or environments can assist or replace human judgment, or it can be systems that can accomplish tasks we would like to automate.

A hand prothesis prototype made in the robotic lab by Mats Høvin.                                                      Photo: Yngve Hafting

Our research focus on systems operating in dynamic environments demanding adaptation at run-time. This includes digital electronics where we have a specific interest in reconfigurable logic technology (FPGA). - That is microchips where the functionality can be altered after the microchip has been fabricated and even when the chip is in operation.  

We work both at a fundamental level of research where machine learning and evolutionary algorithms are important topics, and at an application level where we test theories in practice. At this level you may often see us working with robots who aided by biologically inspired principles for instance learn to walk, all by themselves. To manufacture our own robots, we have advanced 3D-printing equipment. We also work a lot on applications where classification and recognition is essential. Here we have contributed with research on applications such as intelligent transportation system, prosthesis control by use of signals from muscles and face recognition. We have a number of national and international collaborators including research on e.g. robot modelling (Cornell University) and robotic surgery (Intervention Centre/Oslo University Hospital).

A brief presentation of our ongoing research projects.

We regard students affiliated to our group to have a very good learning environment including both a robotics and a microelectronics student society. Together with the Nanoelectronics group, we have received the University of Oslos award for best learning environment in 2005. This was followed by The Ministry of Education and Research award for Norways best learning environment in 2006.

Tags: Robotics, Artificial intelligence, Adaptable systems, Reconfigurable hardware, Biology-inspired Computing, Evolutionary computing, Evolvable hardware, 3D-printing, FPGA
Published Nov. 21, 2010 6:49 PM - Last modified Jan. 18, 2020 9:19 AM