Mike Eichhorn

Technische Universität Ilmenau, St. John's University

Papers

4

Total Citations

46

H-Index

4

About

Mike Eichhorn is a leading researcher in marine robotics and autonomous systems, with a focus on self-organizing robotic networks and precise localization. His most influential work centers on the European R&D project MORPH, which introduced a groundbreaking concept for marine robotic systems composed of self-organizing, logically linked physical nodes. This work, published in 2012 and accumulating over 30 citations, has significantly advanced the field of cooperative underwater robotics, enabling more flexible and resilient exploration and monitoring missions. Eichhorn has also made notable contributions to indoor multi-robot localization, developing an adaptive sensor fusion method that combines odometry and vision data to achieve high precision—a key enabler for coordinated autonomous operations in GPS-denied environments. Additionally, his model-based control design for the compliant robot arm “AirArm,” driven by pneumatic muscle actuators, showcases his expertise in nonlinear control and bio-inspired robotics. This work, part of Festo’s Bionic Learning Network, demonstrates innovative approaches to soft and safe robotic manipulation. Eichhorn’s research bridges theory and application, making him a respected figure in both marine and compliant robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
46
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
The European R&D-Project MORPH: Marine robotic systems of self-organizing, logically linked physical nodes
22 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Technische Universität Ilmenau, St. John's University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago