Shripad Gade

Papers

Total Citations

H-Index

About

Shripad Gade is a researcher whose work lies at the intersection of robotics, multi-agent systems, and control theory. His most cited contribution, "Robotic Herding Using Wavefront Algorithm: Performance and Stability," tackles the challenging problem of using a single robotic pursuer to herd a swarm of adversarial agents—such as birds near an airport—away from a protected zone. Gade’s key innovation, the n-Wavefront algorithm, provides a computationally efficient, scalable method for guiding a collective while ensuring both performance and stability. This work, with 13 citations, has laid foundational groundwork for applications in wildlife management, drone traffic control, and swarm robotics. Gade’s research is notable for bridging theoretical guarantees with practical algorithm design, making his contributions valuable for students and engineers seeking to understand how to control complex, adversarial swarms with minimal resources. His focus on stability analysis sets his work apart, offering a rigorous framework for deploying autonomous herding in real-world scenarios where safety and reliability are paramount.