Pranshav Gajjar

Papers

Total Citations

H-Index

About

Pranshav Gajjar is a researcher advancing the field of autonomous aerial robotics, with a primary focus on path planning and static obstacle avoidance for Unmanned Aerial Systems (UAS). His most cited work, "Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems" (2022), addresses critical challenges in enabling drones to navigate complex, cluttered environments safely and efficiently. By developing algorithms that allow UAS to autonomously compute collision-free trajectories in real time, Gajjar’s contributions are foundational to the practical deployment of drones in applications ranging from infrastructure inspection to search-and-rescue operations. Though early in his career, his research has already garnered attention within the robotics community, with his flagship paper accumulating 4 citations—a promising start for a young scholar. Gajjar’s work stands out for its emphasis on static obstacle avoidance, a key bottleneck in ensuring reliable autonomous flight. His achievements signal a dedication to solving real-world navigation problems, making him a rising voice in the intersection of control theory, robotics, and artificial intelligence. As the demand for autonomous systems grows, Gajjar’s research will likely play an increasingly vital role in shaping safer, smarter skies.