Tobias Kamf

Uppsala University

Papers

2

Total Citations

14

H-Index

2

About

Tobias Kamf is a researcher at the forefront of industrial robotics and automation, with a specialized focus on integrating sensing and actuation for advanced manufacturing and renewable energy systems. His work is defined by a practical, cost-driven approach to solving complex assembly and control challenges. Kamf’s most notable contribution is the development of self-sensing electromagnets for robotic tooling systems, a low-cost method that ingeniously combines distance sensing and actuation into a single component. By using a hybrid switching mode and current ripple measurements, this innovation enhances robotic precision without expensive external sensors, a concept detailed in his most-cited paper (2016, 10 citations). He has also made significant strides in renewable energy automation, designing a system for the automated mounting of high-tolerance pole-shoe wedges inside linear wave power generators (2017, 4 citations). This work directly addresses the critical need for cost-effective production in wave energy, a key barrier to commercialization. Kamf’s research elegantly bridges the gap between fundamental electromechanical principles and real-world industrial applications, offering scalable solutions that improve both robotic dexterity and the viability of sustainable energy technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Self-Sensing Electromagnets for Robotic Tooling Systems: Combining Sensor and Actuator
10 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Uppsala University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago