Papers

8

Total Citations

115

H-Index

6

About

Arne Sachtler is a robotics researcher whose work sits at the intersection of autonomous manipulation, control theory, and geometric methods. His primary research areas include robotic assembly, surface finishing, and ultrasound scanning—all unified by a focus on enabling robots to handle complex, real-world tasks with minimal human intervention. Sachtler’s major contributions lie in developing adaptive sensing and control strategies that allow robots to interact with arbitrary surfaces and moving parts. For instance, his work on combining visual and tactile sensing for autonomous assembly (32 citations) and impedance control for ultrasound scanning (28 citations) has advanced the field of human-robot collaboration. He has also made notable strides in surface finishing by addressing the challenge of freeform geometry coverage (17 citations), and in redundancy resolution (12 citations) to optimize robot motion. Sachtler’s research on nonlinear normal modes and eigenmanifold theory (12 citations) demonstrates his innovative approach to efficient oscillation in elastic robots. His work is highly cited and reflects a deep commitment to practical, adaptive robotics—making him a key figure in the push toward truly autonomous manufacturing and healthcare applications.

Research Focus

Key Achievements

6
H-Index
8
Papers
115
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Towards Autonomous Robotic Assembly: Using Combined Visual and Tactile Sensing for Adaptive Task Execution
32 citations · 2021
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Technical University of Munich, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago