Papers

23

Total Citations

809

H-Index

13

About

Wisnu Jatmiko is an Indonesian computer scientist and robotics researcher whose work spans autonomous systems, swarm robotics, and bio-inspired optimization algorithms. He is perhaps best known for his pioneering contributions to odor source localization, where he applied Particle Swarm Optimization (PSO) to guide mobile robots in dynamically changing chemical environments — work that has garnered over 300 citations across multiple studies and laid important groundwork for real-world search-and-rescue and environmental monitoring applications. His research on intelligent Unmanned Aerial Vehicles (UAVs) for military surveillance has attracted significant attention, with his 2013 simulation study accumulating 227 citations, reflecting the growing importance of autonomous aerial systems in security contexts. Jatmiko has also advanced swarm robotics, developing coordinated quadcopter systems for disaster-area telecommunications recovery and object tracking. More recently, he adapted these capabilities to address contemporary challenges, including a COVID-19 social distancing surveillance drone employing YOLO object detection. His work in agricultural robotics further demonstrates his breadth, exploring SLAM-based fruit-mapping systems for precision farming. Collectively, his research reflects a consistent commitment to translating intelligent algorithms into practical, socially impactful autonomous systems.

Research Focus

Key Achievements

13
H-Index
23
Papers
809
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Simulation of intelligent Unmanned Aerial Vehicle (UAV) For military surveillance
227 citations · 2013
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: University of Indonesia, Nagoya University, Faculty (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago