Papers

2

Total Citations

211

H-Index

2

About

Dr. S. Doctor is a pioneering researcher in swarm robotics and intelligent control systems, with a primary focus on optimizing collective robotic search and navigation. Their most influential work, "Optimal PSO for collective robotic search applications" (2005), has garnered 165 citations and introduces a novel application of Particle Swarm Optimization (PSO) for coordinating unmanned vehicles in hazardous environments where human exploration is impossible. This contribution has significantly advanced target-tracing and autonomous exploration technologies. Dr. Doctor further extended this research in "Navigation of mobile sensors using PSO and embedded PSO in a fuzzy logic controller" (2004, 46 citations), proposing innovative frameworks for swarms of mobile sensors to accomplish critical tasks such as firefighting, landmine detection, and radioactivity monitoring. By integrating PSO within fuzzy logic controllers, they developed dual-strategy navigation methods that enhance both local and global task optimization. Dr. Doctor’s work bridges theoretical optimization algorithms with practical robotic applications, offering scalable solutions for disaster response and environmental monitoring. Their research remains highly influential in the fields of swarm intelligence, autonomous systems, and sensor networks, inspiring subsequent studies on decentralized multi-robot coordination.

Research Focus

Key Achievements

2
H-Index
2
Papers
211
Total Citations
106
Avg Citations/Paper
🏆 Most Cited Paper
Optimal PSO for collective robotic search applications
165 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Missouri University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago