About

Anton Satria Prabuwono is a researcher whose work spans robotics, computer vision, and artificial intelligence, with particular focus on industrial automation, autonomous systems, and human-robot interaction. Over more than a decade of contributions, he has established himself as a versatile innovator bridging theoretical research and real-world applications. Prabuwono's early work addressed critical challenges in manufacturing, including developing a staircase method for autonomous contour tracking in industrial robots (2008) and pioneering vision-based surface defect detection in polishing processes. His 2010 paper on computer vision and artificial neural networks for robotic polishing demonstrated how intelligent systems could replace labor-intensive, hazardous manual processes. His most-cited contribution, a 2012 comparative review of wireless technologies for mobile robot control, garnered 27 citations and became a key reference for roboticists working with Bluetooth, WiFi, and 3G communication systems. Beyond manufacturing, Prabuwono has explored robot soccer as an AI testbed, assistive robotics for elderly and disabled populations, and real-time human-robot interaction frameworks. His more recent work, including the lightweight LSR-YOLO object detection model (2025), reflects a forward-looking engagement with deep learning for smart city applications. With contributions accumulating over 100 citations across diverse domains, Prabuwono represents a sustained commitment to making robotics more intelligent, accessible, and practically impactful.

Research Focus

Key Achievements

8
H-Index
27
Papers
174
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Wireless Technology Usage for Mobile Robot Controller
27 citations · 2012
📈 Most Prolific Year: 2011 (8 Papers)
🤝 Key Collaborators: 60
🏛 Institutions: National University of Malaysia, King Abdulaziz University, Technical University of Malaysia Malacca, Universiti Teknologi Petronas, University Kebangsaan Malaysia Medical Centre

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago