Kristina Eriksson
Papers
7
Total Citations
59
H-Index
4
About
Kristina Eriksson is a leading researcher at the intersection of robotics, computer vision, and intelligent manufacturing systems. Her work focuses on solving critical challenges in industrial automation, particularly in welding and flexible production environments. Eriksson’s most influential contribution is her pioneering work on stereo vision for path correction in off-line programmed robot welding (2010, 31 citations), which addresses the practical problem of weld joint variations caused by part tolerances and thermal distortion. She also developed novel camera models and pose calculation algorithms (2006) that significantly improve accuracy and convergence in vision-based systems, with applications extending beyond welding to general robotics. More recently, Eriksson has advanced the field of sustainable manufacturing through her conceptual framework combining discrete event simulation with deep reinforcement learning for scheduling (2022, 9 citations). Her ongoing work includes sampling-based path planning for Plug & Produce environments (2023) and optimized path planning using adaptive RRT* algorithms (2021) that consider energy efficiency. Eriksson’s research has direct industrial relevance, as demonstrated by her study on virtual commissioning during equipment procurement (2024), reflecting her commitment to bridging academic innovation with real-world manufacturing needs.
Research Focus
Key Achievements
Top Papers
- 1Stereo vision for path correction in off-line programmed robot welding31 citations · 2010
- 2
- 3A new Camera Model for Higher Accuracy Pose Calculations6 citations · 2006
- 4
- 5
- 6
- 7