Scholar
Martin Magnusson
Google Scholar ID: s9fPUg8AAAAJ
Professor in computer science (robotics), Örebro University
Citations & Impact
Citations
3,070
H-index
25
i10-index
54
Publications
20
Co-authors
22
list available
Contact
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements information provided.
Research Experience
- Currently heading the AASS organizational unit and research environment, and also leading the Robot Navigation and Perception Lab within AASS. Early contributions include the development of the 3D Normal Distributions Transform (3D-NDT) and efficient methods for scan registration, localisation, and mapping in dynamic environments. Recent work extends into radar-based mapping and navigation, as well as human-aware robots through predictive modelling in complex and shared environments.
Education
- No specific educational background information provided.
Background
- Research interests target robotics and AI, with a focus on advancing autonomous systems through innovations in 3D mapping and localisation, perception, as well as human-robot interaction. Particular interest in quantitative quality measures of maps and the methods used for constructing them, as well as maps of dynamics and flow, and the use of heterogeneous map data (e.g., hand-drawn sketch maps) in robotics.
Miscellany
- Teaches a course in Computer Graphics, covering principles and practice from the algebra needed to project 3D objects onto the screen and coding required to do so, through models for how light scatters at surfaces of different materials, to photo-realistic rendering with ray tracing and path tracing. Disapproves of the strategic partnership between Saab and Örebro University signed in May 2023, especially concerning AI and robotics. Supports the International Committee for Robot Arms Control (ICRAC) and the Campaign to Stop Killer Robots.
