Mohammad Azangoo

Aalto University

Papers

1

Total Citations

14

H-Index

1

About

Mohammad Azangoo is a researcher at the forefront of digital manufacturing, specializing in the integration of Mixed Reality (MR) and robotics to create accessible, data-rich production environments. His work centers on developing open-source frameworks that bridge the gap between physical robotic systems and their digital twins, enabling real-time visualization and interaction. In his highly cited 2020 paper, "Mirrorlabs," Azangoo introduced a pioneering ICT framework that combines Unity-based MR applications with robotic equipment using ROS, allowing users to visualize recorded production data in Virtual Reality and leverage state-of-the-art Augmented Reality displays for robot data overlay. This contribution, which has garnered 14 citations, directly addresses the challenge of making complex robotic data intuitive and accessible to operators and engineers. By providing an open-source solution, Azangoo empowers researchers and industry practitioners to create their own digital twins without costly proprietary systems. His work is instrumental in advancing human-robot collaboration and smart factory concepts, demonstrating how immersive technologies can transform manufacturing data into actionable insights.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Aalto University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago