Papers
1
Total Citations
6
H-Index
1
About
Swapnil Nema is a robotics and control systems researcher whose work focuses on intelligent path planning and optimization for mobile robots. His most-cited paper, "Path control of mobile robot using Cuckoo-PID" (2015), introduces a novel approach that integrates Cuckoo optimization with PID controllers to enhance trajectory tracking. By dynamically updating linear and angular velocities based on error minimization, Nema’s method improves the precision and adaptability of autonomous navigation—a critical challenge in robotics. With 6 citations, this work has influenced subsequent studies in bio-inspired control algorithms and mobile robot guidance. Nema’s contributions lie at the intersection of nature-inspired optimization and classical control theory, offering practical solutions for real-world robotic systems. His research demonstrates how metaheuristic algorithms can fine-tune PID parameters, reducing manual tuning effort while boosting performance. For students and researchers exploring autonomous robotics, Nema’s work provides a clear example of how hybrid control strategies can overcome limitations in path tracking, making it a valuable reference for those developing intelligent, self-correcting mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1Path control of mobile robot using Cuckoo-PID6 citations · 2015