About

Novendra Setyawan is an Indonesian robotics researcher whose work centers on autonomous mobile robots, computer vision, and intelligent optimization algorithms — with a particular focus on wheeled soccer robots. His most influential contribution, "Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot" (2018), has garnered nearly 25 citations across multiple venues and demonstrates his signature approach: combining Particle Swarm Optimization (PSO) with neural networks to enable robots to accurately detect and localize objects such as balls, goalposts, and field lines using omnidirectional camera systems. This PSO-neural network framework extends across much of his research portfolio, including trajectory prediction for moving objects and object position recognition using scan-line techniques. Beyond perception, Setyawan has made meaningful contributions to robot navigation and control. His 2017 work on adaptive Gaussian parameter PSO for mobile robot path planning (15 citations) offers a refined heuristic approach to motion planning, while his research on PID trajectory tracking for omni-wheel robots and particle filter-based localization via omni-vision addresses the full autonomy pipeline. Together, his publications reflect a cohesive research agenda aimed at making soccer robots smarter, faster, and more self-sufficient — advancing the broader field of autonomous mobile robotics in competitive and real-world environments.

Research Focus

Key Achievements

4
H-Index
9
Papers
59
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot
19 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Universitas Muhammadiyah Jember, Sepuluh Nopember Institute of Technology, State University of Malang, Universitas Muhammadiyah Malang

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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