Pranav Bakshi
Papers
1
Total Citations
2
H-Index
1
About
Pranav Bakshi is a rising researcher in control theory and robotics, with a focus on safety-critical autonomous systems. His work centers on developing rigorous mathematical frameworks for real-time decision-making under temporal and spatial constraints. Bakshi’s major contributions lie in the advancement of Control Barrier Functions (CBFs), particularly for prescribed-time reach-avoid-stay (PT-RAS) tasks—applications where precise timing, state constraints, and safety guarantees are paramount. His 2025 paper, “Control Barrier Functions for Prescribed-Time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes,” introduces novel CBF constructions that ensure autonomous agents meet strict temporal deadlines while avoiding obstacles and staying within safe regions. Though recently published with 2 citations, this work is already gaining traction for its potential in time-critical domains like drone delivery, autonomous driving, and robotic surgery. Bakshi’s research bridges theoretical guarantees with practical implementation, offering engineers tools to design controllers that are both provably safe and temporally precise. As a young scholar, his contributions are shaping the next generation of autonomous systems, where timing and safety are inseparable.
Research Focus
Key Achievements
Top Papers
- 1