Martin Karlsson
Martin Karlsson
Ph.D. Student
Phone: +46 46 222 87 84
Fax: +46 46 13 81 18

I have worked as a Ph.D student since April 2014. My research interests are within state estimation, and robot learning and control. In 2015, I have been working within the EU projects SARAFun, with focus on robot learning for assembly tasks, and FlexiFab, in which friction stir welding performed by a manipulator is developed.


Martin Karlsson, Fredrik Bagge Carlson, Anders Robertsson, Rolf Johansson: "Two-Degree-of-Freedom Control for Trajectory Tracking and Perturbation Recovery during Execution of Dynamical Movement Primitives". In: 20th IFAC World Congress, 2017 2017.

Mårten Wadenbäck, Martin Karlsson, Anders Heyden, Anders Robertsson, Rolf Johansson: "Visual Odometry from Two Point Correspondences and Initial Automatic Tilt Calibration". In: 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) 2017.

Martin Karlsson, Anders Robertsson, Rolf Johansson: "Autonomous Interpretation of Demonstrations for Modification of Dynamical Movement Primitives". In: IEEE International Conference on Robotics and Automation (ICRA), 2017, 2017.

Martin Karlsson, Fredrik Karlsson: "Cooperative Indoor Positioning by Exchange of Bluetooth Signals and State Estimates Between Users". In: European Control Conference, 2016 2017.

Fredrik Bagge Carlson, Martin Karlsson, Anders Robertsson, Rolf Johansson: "Particle Filter Framework for 6D Seam Tracking Under Large External Forces Using 2D Laser Sensors". In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016.

Mathias Haage, Stefan Profanter, Ingmar Kessler, Alexander Perzylo, Nikhil Somani, Olof Sörnmo, Martin Karlsson, Sven Robertz, Klas Nilsson, Ludovic Resch, Michael Marti: "On Cognitive Robot Woodworking in SMErobotics". In: 47th International Symposium on Robotics, ISR 2016 2016.

Fredrik Karlsson, Martin Karlsson, Bo Bernhardsson, Fredrik Tufvesson, Magnus Persson: "Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements". In: European Control Conference, 2015 2015.


Fredrik Karlsson, Martin Karlsson: "Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements". Master's Thesis ISRN LUTFD2/TFRT--5932--SE, Department of Automatic Control, Lund University, Sweden, 2014.





Automatic Control Basic Course Fall 2014

Applied Robotics Fall 2014, Fall 2015

Automatic Process Control / Systems Engineering Spring 2014, Spring 2015

Projects in Automatic Control Fall 2014, Fall 2015