Benjamin Wegmann
Papers
1
Total Citations
9
H-Index
1
About
Benjamin Wegmann is a researcher advancing the frontier of functional safety in autonomous agricultural robotics. His work centers on the critical challenge of human detection and protection, where non-contact sensor systems must reliably identify persons to ensure safe machine operation. In his most cited work, "Concept and Realization of a Novel Test Method Using a Dynamic Test Stand for Detecting Persons by Sensor Systems on Autonomous Agricultural Robotics" (2021), Wegmann introduces an innovative dynamic test stand methodology that simulates real-world human-machine interactions. This contribution provides a rigorous, repeatable framework for evaluating sensor robustness—a vital step toward certifying autonomous systems for field deployment. While his citation impact is still growing, reflecting the nascent stage of this safety-critical field, his research directly addresses a bottleneck in agricultural automation: the gap between sensor capability and functional safety standards. Wegmann’s work is notable for its practical engineering approach, bridging theoretical safety concepts with tangible test infrastructure. For students and researchers in robotics, safety engineering, or agricultural technology, his contributions offer a foundational perspective on how to systematically validate the systems that will protect human life alongside increasingly autonomous machinery.
Research Focus
Key Achievements
Top Papers
- 1