Nikolai Hangst
Papers
5
Total Citations
45
H-Index
3
About
Nikolai Hangst is a leading researcher in human-robot collaboration, with a focus on enhancing safety and efficiency in industrial applications. His work centers on developing advanced sensing and control systems that enable seamless interaction between humans and robots, particularly through speed and separation monitoring. Hangst’s most cited paper, “Human–Machine Differentiation in Speed and Separation Monitoring for Improved Efficiency in Human–Robot Collaboration” (2021, 20 citations), addresses the critical challenge of low efficiency in collaborative applications by introducing methods to differentiate between human and machine movements, thereby optimizing safety without sacrificing productivity. He also pioneered the use of single-pixel time-of-flight sensors for object detection and self-detection in robot manipulators (2019, 13 citations), a novel approach that enhances collision avoidance. Additionally, Hangst has contributed to additive manufacturing, designing customized gripper systems and sensitive gripper jaws with integrated strain gauge technology for extended gripping force ranges (2020, 2025). His work on holistic robotics education bridges university research and industry needs, preparing tomorrow’s engineers for real-world challenges. With a growing citation impact, Hangst’s innovations are shaping the future of safe, efficient human-robot collaboration.
Research Focus
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Top Papers
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