Golnaz Raja
Papers
1
Total Citations
22
H-Index
1
About
Golnaz Raja is a rising researcher at the intersection of robotics, control theory, and computer vision, with a primary focus on ensuring safe autonomous navigation in unknown environments. Her most-cited work introduces the Vision-based Control Barrier Function (V-CBF), a pioneering framework that integrates real-time visual data with the mathematical rigor of Control Barrier Functions. This approach directly addresses a critical challenge in robotics: enabling safe motion control when the environment is not pre-mapped. By allowing safety constraints to be derived from onboard camera feeds, Raja’s V-CBF framework bridges the gap between theoretical safety guarantees and practical deployment in unstructured settings. Her contributions are particularly impactful for applications like autonomous driving and field robotics, where sensor uncertainty is high. With 22 citations on this key 2023 paper alone, Raja’s work is rapidly gaining traction as a foundational solution for vision-based safety-critical control. Her research promises to make autonomous systems not only more capable but also provably safer in the real world.
Research Focus
Key Achievements
Top Papers
- 1Safe Control using Vision-based Control Barrier Function (V-CBF)22 citations · 2023