Patrik Axelsson

About

Patrik Axelsson is a researcher specializing in robotics, state estimation, and control systems, with a particular focus on industrial manipulators. His work sits at the intersection of sensor fusion, system identification, and robot joint modeling, addressing practical challenges in improving the precision and reliability of industrial robotic systems. Axelsson's most influential contribution, garnering 48 citations, investigates wear detection in robot joints under real-world uncertainties of temperature and load — a practically significant finding that revealed friction-based wear signals can be obscured by environmental factors, reshaping how condition monitoring is approached in robotics. His complementary work on modeling and identification of wear further deepened this understanding. His research on Bayesian state estimation for flexible industrial robots (41 citations) and sensor fusion applied to industrial manipulators (34 citations) established robust frameworks for improving end-effector tracking accuracy — a critical performance requirement across diverse robotic applications. Beyond these highlights, Axelsson has contributed methods for accelerometer placement estimation, maximum likelihood process noise estimation, and H∞ control design for flexible manipulators, collectively demonstrating a broad yet cohesive research agenda. With over 200 cumulative citations, his work has meaningfully advanced the field of intelligent industrial robotics, offering both theoretical rigor and practical applicability for engineers and researchers designing next-generation robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Modeling and Experiment Design for Identification of Wear in a Robot Joint Under Load and Temperature Uncertainties Based on Friction Data

   48 citations · 2014
2. 2
   Bayesian state estimation of a flexible industrial robot

   41 citations · 2012
3. 3
   On Sensor Fusion Applied to Industrial Manipulators

   34 citations · 2011
4. 4
   Method to Estimate the Position and Orientation of a Triaxial Accelerometer Mounted to an Industrial Manipulator

   19 citations · 2012
5. 5
   ML Estimation of Process Noise Variance in Dynamic Systems

   18 citations · 2011
6. 6
   Modeling and Identification of Wear in a Robot Joint under Temperature Uncertainties

   16 citations · 2011
7. 7
   ℋ∞-Controller Design Methods Applied to One Joint of a Flexible Industrial Manipulator

   11 citations · 2014
8. 8
   Evaluation of Six Different Sensor Fusion Methods for an Industrial Robot using Experimental Data

   8 citations · 2012
9. 9
   A Simulation Study on the Arm Estimation of a Joint Flexible 2 DOF Robot Arm

   5 citations · 2009
10. 10
    Extended Kalman Filter Applied to Industrial Manipulators

    3 citations · 2010

Key Collaborators

Contact & Links