Milan Amighi
Papers
3
Total Citations
43
H-Index
2
About
Milan Amighi is a leading researcher at the intersection of robotics, sensor technology, and human safety, with a primary focus on **human–robot collaboration (HRC)** and **privacy-compliant sensing**. His major contributions center on developing sensor-enabled safety systems that allow robots to perceive their environment, detect human presence, and adjust actions in real time—critical for safe industrial collaboration. His most cited work, a 2024 review on "Sensor-Enabled Safety Systems for Human–Robot Collaboration," has already garnered **39 citations**, establishing it as a foundational resource in the field. Amighi is also pioneering the use of **60 GHz Frequency Modulated Continuous Wave (FMCW) RaDAR** for pose estimation and gesture command recognition, notably through his **mmPrivPose3D** dataset and approach. This work directly addresses a critical gap: while RGB-D cameras are common for human tracking, they raise significant privacy concerns. By leveraging RaDAR, Amighi enables privacy-compliant, real-time human pose estimation and gesture recognition without capturing identifiable visual data, a breakthrough for dynamic manufacturing environments. His achievements mark him as a key innovator in making HRC both safer and more ethically sound.
Research Focus
Key Achievements
Top Papers
- 1Sensor-Enabled Safety Systems for Human–Robot Collaboration: A Review39 citations · 2024
- 2
- 3