Biography
Nils Bore is a computer vision and state estimation expert working with the SMaRC project at the KTH Royal Institute of Technology. During his PhD in robotics and computer vision, he worked on developing state-of-the-art technologies for the long-term autonomy of service robots as part of the STRANDS project. In the final year of the project, a robot was demonstrated to operate autonomously in the challenging environment of a human work place for half a year. In a series of research articles, Nils applied techniques from machine learning and state estimation on the gathered data, resulting in novel ways of tracking the qualitative evolution of human environments. In his work with underwater vehicles within the SMaRC project, he is now seeking to apply machine learning techniques to novel sensors and environments. Nils is the main person responsible for the development of the software system on the SAM AUV. In that role, he is also investigating software robustness in underwater systems and software-hardware interaction.