A. A. N. Pancoti

Papers

Total Citations

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About

A. A. N. Pancoti is a researcher specializing in robotics, control systems, and bio-inspired optimization algorithms. Their work bridges experimental validation and computational intelligence, with a focus on autonomous aerial vehicles and mobile robot navigation. Pancoti’s most cited paper, “Experimental Validation of Quadrotors Angular Stability in a Gyroscopic Test Bench” (2018, 18 citations), demonstrates a hands-on approach to verifying quadrotor stability through nonlinear control and feedback systems, contributing to safer and more reliable drone operations. In a second influential study, “Ant Colony Optimization Algorithm and Artificial Immune System Applied to a Robot Route” (2019, 8 citations), Pancoti applies meta-heuristic techniques—Ant Colony Optimization and Artificial Immune Systems—to solve complex route-planning problems for robots, showcasing how nature-inspired algorithms can enhance autonomous navigation efficiency. While citation counts are modest, these works highlight Pancoti’s commitment to integrating theoretical control methods with practical robotics challenges, offering valuable insights for students and researchers exploring the intersection of stability analysis, swarm intelligence, and autonomous systems. Their research provides a foundation for advancing robust, adaptive robotic platforms in real-world environments.