Papers

1

Total Citations

6

H-Index

1

About

Sonali Agarwal is a robotics and control systems researcher whose work focuses on intelligent path planning and optimization for autonomous mobile robots. Her key research areas include bio-inspired optimization algorithms, PID controller design, and mobile robot navigation. Her most notable contribution is the development of the Cuckoo-PID approach for mobile robot path control, which integrates the Cuckoo optimization algorithm—a metaheuristic inspired by the brood parasitism behavior of cuckoo birds—with traditional PID controllers. This innovative method dynamically updates a robot’s linear and angular velocities by minimizing individual tracking errors, enabling precise path following in complex environments. The paper "Path control of mobile robot using Cuckoo-PID" (2015) has accumulated 6 citations, demonstrating its influence in the field of autonomous navigation and control optimization. Agarwal’s work bridges nature-inspired computation with robotic control, offering a computationally efficient alternative to conventional tuning methods. Her research is particularly valuable for students and engineers exploring adaptive control strategies, as it provides a practical framework for enhancing robot autonomy through hybrid optimization techniques.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Path control of mobile robot using Cuckoo-PID
6 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Indian Institute of Information Technology Design and Manufacturing Jabalpur

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago