Stephan Irgenfried
Papers
6
Total Citations
29
H-Index
4
About
Stephan Irgenfried is a researcher at the forefront of robotics, machine vision, and human-machine interaction. His work centers on developing intelligent systems that bridge the gap between perception and action, with a particular focus on assistive robotics and automated optical inspection. Irgenfried’s major contributions include the design of a multimodal human machine interface for a robotic mobility aid, featuring force-torque sensing, user intention detection, and active fall prevention—a project that has garnered 8 citations and demonstrates his commitment to practical, life-enhancing technology. He has also advanced reactive grasping by integrating simple camera systems with multi-fingered grippers, enabling more adaptive robotic manipulation. Notably, Irgenfried has pioneered computer-aided inspection planning (CAIP) for machine vision, creating simulation toolsets that narrow the design space for automated optical inspection systems. His work on uncertainty estimation for kinematic laser tracker measurements, incorporating industrial robot control data, further underscores his expertise in precision metrology. With a total of over 20 citations across his most-cited papers, Irgenfried’s research is characterized by its interdisciplinary approach—combining simulation, hardware integration, and real-world validation—making him a key figure in the evolution of intelligent robotic systems and vision-based automation.
Research Focus
Key Achievements
Top Papers
- 1A multimodal human machine interface for a robotic mobility aid8 citations · 2015
- 2Multi-fingered reactive grasping with active guided camera systems5 citations · 2012
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- 6CADaVISION: A simulation framework for machine vision prototyping3 citations · 2011