Tejas Rao
Papers
1
Total Citations
4
H-Index
1
About
Tejas Rao is a rising researcher in the field of safe autonomous systems, with a primary focus on control theory and collision avoidance for unmanned vehicles. His most notable contribution is the development of a unified "Collision Cone Approach for Control Barrier Functions" (2024), which bridges the gap between geometric collision cones and formal safety guarantees. By introducing Collision-Cone Control Barrier Functions (CBFs), Rao provides a novel framework that ensures safety for both ground (UGV) and aerial (UAV) vehicles by constraining relative velocities—a critical advancement for multi-agent systems and dynamic environments. Though his work is early-stage, with 4 citations, it has already garnered attention for its elegant integration of practical robotics with rigorous control theory. Rao’s research is particularly impactful for students and engineers seeking to implement real-time collision avoidance without compromising performance. His approach stands out for its simplicity and scalability, promising to influence future designs in autonomous navigation. As a young scholar, Rao is establishing himself as a key voice in safety-critical control, with potential for significant contributions to the broader field of robotics.
Research Focus
Key Achievements
Top Papers
- 1A Collision Cone Approach for Control Barrier Functions4 citations · 2024