Yujendra Mitikiri
Papers
1
Total Citations
7
H-Index
1
About
Yujendra Mitikiri is a pioneering researcher at the intersection of swarm robotics and computational fluid dynamics, whose work reimagines how collective robotic systems can be controlled through physics-inspired algorithms. His primary research areas include multi-agent systems, swarm intelligence, and the application of smoothed-particle-hydrodynamics (SPH) to robotic coordination. Mitikiri’s most significant contribution lies in his groundbreaking 2021 paper, "Smoothed-Particle-Hydrodynamics for the Control of Robotic Swarms, and Parametric Associations," which has garnered 7 citations and introduced a novel framework for treating robot swarms as continuous fluid-like systems. By leveraging SPH—a method traditionally used in astrophysics and fluid simulation—he demonstrated how macroscopic swarm properties emerge naturally from local interactions, enabling more efficient and scalable control strategies. This work bridges the gap between theoretical physics and practical robotics, offering a new paradigm for designing decentralized, robust swarms capable of complex collective behaviors. Mitikiri’s research has implications for applications ranging from environmental monitoring to search-and-rescue operations, and his innovative cross-disciplinary approach continues to inspire new directions in swarm engineering and autonomous systems.
Research Focus
Key Achievements
Top Papers
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