M. Karlsson

About

M. Karlsson is a leading researcher in robot learning and control, with a primary focus on dynamical movement primitives (DMPs) and their application to intuitive human-robot interaction. Karlsson’s major contributions include developing a framework that allows operators to autonomously interpret demonstrations and modify DMPs in real time (30 citations), and mathematically proving the global exponential stability of temporally coupled DMPs (15 citations)—a critical result ensuring reliable task execution. In robotic manipulation, Karlsson pioneered a method to detect contact force transients without an external force sensor (14 citations), significantly reducing hardware complexity. Karlsson also advanced two-degree-of-freedom control for trajectory tracking and perturbation recovery during DMP execution (11 citations). Notable applied work includes enabling robotic friction stir welding through seam-tracking and force control (9 citations), and developing a particle filter framework for 6D seam tracking under large external forces (3 citations). With over 96 total citations across ten key publications, Karlsson’s research bridges theoretical guarantees and practical deployment, making robot programming more accessible and robust for industrial applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Autonomous interpretation of demonstrations for modification of dynamical movement primitives

   30 citations · 2017
2. 2
   Convergence of Dynamical Movement Primitives with Temporal Coupling

   15 citations · 2018
3. 3
   Detection and Control of Contact Force Transients in Robotic Manipulation Without a Force Sensor

   14 citations · 2018
4. 4
   Two-Degree-of-Freedom Control for Trajectory Tracking and Perturbation Recovery during Execution of Dynamical Movement Primitives

   11 citations · 2017
5. 5
   Robotic friction stir welding – seam-tracking control, force control and process supervision

   9 citations · 2023
6. 6
   Visual Odometry from Two Point Correspondences and Initial Automatic Camera Tilt Calibration

   5 citations · 2017
7. 7
   Human–Robot Interaction Based on Motion and Force Control

   4 citations · 2019
8. 8
   Particle filter framework for 6D seam tracking under large external forces using 2D laser sensors

   3 citations · 2016
9. 9
   Master-Slave Coordination Using Virtual Constraints for a Redundant Dual-Arm Haptic Interface

   3 citations · 2018
10. 10
    On Cognitive Robot Woodworking in SMErobotics

    2 citations · 2016

Key Collaborators

Contact & Links