Mrunal Sompura
Papers
2
Total Citations
4
H-Index
2
About
Mrunal Sompura is a researcher at the Fraunhofer Institute for Production Technology and Automation IPA, whose work sits at the intersection of functional safety and artificial intelligence in industrial robotics. Her primary research areas include human-robot collaboration (HRC), risk assessment automation, and synthetic data generation for computer vision. Sompura’s major contribution is the development of CARA (Computer-Aided Risk Assessment), an engineering tool that simplifies and partially automates the risk assessment process for HRC applications, making it easier for industry to implement safe collaborative robots. This work directly addresses a critical barrier to HRC adoption. In parallel, she has advanced the field of synthetic data generation, tackling the Sim2Real gap in production environments. Her research on domain randomization techniques helps deep neural networks—used for object detection, segmentation, and 6D pose estimation—generalize better from simulation to real-world factory settings. While her most-cited papers currently show 2 citations each, they represent foundational work in rapidly growing fields. Sompura’s dual focus on safety and AI-driven automation positions her as a key contributor to the next generation of flexible, safe, and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2