Rijil Ramchand

National Institute of Technology Calicut

Papers

Total Citations

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About

Rijil Ramchand is a researcher specializing in multi-robotic systems, control theory, and estimation algorithms, with a particular focus on leader–follower dynamics and target interception. His most-cited work, "Leader–follower target interception control of multi-robotic vehicles with holonomic dynamics based on unscented Kalman filter" (2023), introduces a novel approach to coordinating multiple robotic vehicles for precise target interception. By integrating unscented Kalman filtering with holonomic dynamics, Ramchand’s method enhances the robustness and accuracy of multi-agent systems under uncertainty—a critical advancement for applications in autonomous surveillance, search-and-rescue, and cooperative robotics. Though his citation count is still growing, this paper has already garnered 6 citations, signaling its emerging influence. Ramchand’s contributions lie at the intersection of estimation theory and decentralized control, offering practical solutions for real-time coordination. His work is particularly notable for bridging theoretical control frameworks with real-world robotic constraints, making it a valuable resource for students and researchers exploring multi-vehicle systems. As his research continues to develop, Ramchand is poised to make further strides in autonomous swarm intelligence and adaptive robotic networks.