Christian Kastl

Linz Center of Mechatronics (Austria)

Papers

5

Total Citations

27

H-Index

3

About

Christian Kastl is a researcher at the forefront of robotics, cyber-physical systems, and industrial automation. His work primarily focuses on frontier-based exploration algorithms for autonomous robots, where he has critically reviewed utility and cost functions to enhance efficiency in applications like Urban Search and Rescue (USAR). Kastl also advances human-machine interaction through cyber-physical gesture recognition, combining ultrasound and motion data for intuitive control of consumer devices and industrial machines. In the realm of the Industrial Internet of Things (IIoT), he has developed distributed testbeds for wireless embedded devices, addressing the growing complexity and vulnerability of these networks. His notable contributions include the DisDAQ system, a modular measurement and processing platform for industrial process optimization, aimed at improving resource use and sustainability. With over 27 citations across his most-cited works, Kastl’s research demonstrates significant impact, bridging theoretical exploration with practical, real-world applications in robotics and industrial efficiency.

Research Focus

Key Achievements

3
H-Index
5
Papers
27
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Utility and Cost Functions Used in Frontier-Based Exploration Algorithms
11 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Linz Center of Mechatronics (Austria)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago