Papers

1

Total Citations

6

H-Index

1

About

Anand Prakash Shukla 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 a PID controller with the Cuckoo optimization algorithm to dynamically adjust a robot’s linear and angular velocities for precise path tracking. By minimizing individual error through an optimized objective function, Shukla’s method significantly improves navigation accuracy in complex environments. This contribution, with 6 citations, demonstrates his ability to bridge nature-inspired metaheuristics with classical control theory, offering a computationally efficient solution for autonomous mobile robotics. Shukla’s research is particularly relevant for students and engineers developing adaptive control systems in robotics, where real-time path correction is critical. His work underscores the potential of hybrid optimization techniques to enhance robot autonomy, making him a notable figure in the intersection of evolutionary algorithms and robotic control.

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