Papers
9
Total Citations
59
H-Index
4
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
Top Papers
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- 3PID Trajectory Tracking Control 4 Omni-Wheel Robot5 citations · 2019
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- 7PERENCANAAN JALUR ROBOT SEPAK BOLA UMMIROS MENGGUNAKAN ALGORITMA A3 citations · 2019
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