Shakiba Yaghoubi
Papers
1
Total Citations
26
H-Index
1
About
Dr. Shakiba Yaghoubi is a leading researcher in safe autonomous navigation, whose work bridges the gap between theoretical control guarantees and real-world robotic deployment. Her primary research areas include motion planning, control barrier functions (CBFs), and human-robot interaction in dynamic environments. Dr. Yaghoubi’s most notable contribution is her 2021 paper, "Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions," which has garnered 26 citations. In this seminal work, she innovatively integrated time-based Rapidly-exploring Random Trees (RRTs) with Control Barrier Functions, enabling mobile robots to generate provably safe motion plans amidst dense pedestrian crowds. This approach not only ensures collision avoidance but also maintains real-time computational efficiency—a critical advancement for deploying autonomous systems in human-populated spaces like hospitals and warehouses. Her work is widely recognized for providing a rigorous yet practical framework that other researchers have built upon to enhance safety in autonomous driving and service robotics. Dr. Yaghoubi continues to push the boundaries of safe autonomy, making her a pivotal figure in the quest for trustworthy, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1