Jochen Trumpf

Data61, Australian National University

Papers

16

Total Citations

361

H-Index

10

About

Jochen Trumpf is a leading figure in the application of geometric control theory and symmetry to robotics and autonomous systems. His research primarily focuses on observer design for kinematic systems, visual localization and mapping (SLAM), and underwater communication. Trumpf’s major contributions include pioneering the use of equivariant systems theory to design nonlinear observers that exploit natural symmetries in robotic and avionics models, significantly advancing state estimation for pose and attitude. His most cited work, "Frequency, Temperature and Salinity Variation of the Permittivity of Seawater" (141 citations), is foundational for underwater radio communication, a critical enabler for marine robotics. He has also made notable strides in homography estimation for image stabilization and vision-based control of aerial vehicles using port-Hamiltonian frameworks. With a career spanning over two decades, Trumpf’s work bridges theoretical geometry and practical robotics, earning him recognition for developing robust, symmetry-aware algorithms that improve navigation and communication in complex environments. His research continues to shape modern approaches to SLAM and multi-agent systems.

Research Focus

Key Achievements

10
H-Index
16
Papers
361
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Frequency, Temperature and Salinity Variation of the Permittivity of Seawater
141 citations · 2006
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Data61, Australian National University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago