My research follows two main tracks: Field Robotics and Human-Robot Interaction.
In the area of Field Robotics, we have done and still do a lot of research for automation in forestry, in particular development of unmanned forest vehicles. We designed a pilot system for autonomous navigation in forest environment, including algorithms for high-performance path tracking in rough forest environment, and simulator based path planning for both obstacle avoidance and global reactive path planning.
We took part in the EU project CROPS (IP FP7/NMP). The overall goal of CROPS was to develop robots for harvesting and spraying of fruit and vegetable crops. Our major contributions were to develop a generic robot system architecture. We also worked on laser and image analysis solutions for estimation of tree diameters, detection and classification of objects in forest environments, and general techniques for image labelling and segmentation. The work in CROPS was continued in the SWEEPER (H2020) project.Our second main track of research, Human-Robot Interaction, has for several years been conducted in the EU project INTRO (FP7/ITN) for which I was coordinator. In our lab, work has focused on cognitive architectures and robot learning, primarily Learning From Demonstration (LFD) enhanced by HRI, and also on general aspects of interaction. We also work with natural language understanding for robots, and currently combine dialogue management, intention recognition, and task planning. This work is conducted as part of the SOCRATES (H2020) project for which I am coordinator.
In addition to the main tracks, Field Robotics and Human-Robot Interaction, I have published some work on robot ethics related to development and usage of military robots. I also lead a project for development of an intelligent rollator, aiming at improving usability for people with cognitive limitations, e.g. after a stroke.
PhD student supervision
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Ohh right, I am proud holder of an Erdös-Bacon-Sabbath number≤ 13