Papers

19

Total Citations

1,070

H-Index

12

About

Kuo Su is a pioneering researcher whose work sits at the intersection of multisensor fusion, intelligent robotics, and autonomous systems. Best known for his landmark 2002 survey "Multisensor Fusion and Integration: Approaches, Applications, and Future Research Directions," which has garnered over 613 citations, Su helped establish the theoretical and practical foundations of combining redundant and complementary sensor data across disciplines including control theory, artificial intelligence, and signal processing. Building on this foundation, Su has made significant contributions to intelligent security and fire-detection robotics, developing adaptive multisensor fusion algorithms capable of autonomously identifying fire hazards using smoke, flame, and temperature sensors — work that attracted nearly 160 citations across two influential papers. His broader robotics research spans target tracking using hierarchical grey-fuzzy decision-making, autonomous mobile robot recharging systems, animal-inspired quadruped robots, and RGB-D-based localization using neural networks, demonstrating a sustained commitment to practical, sensor-driven autonomy. Su's research vision is notably applied: his systems are designed for real-world deployment in intelligent buildings, home automation, and security environments. With a cumulative body of work exceeding 1,000 citations, Su has proven himself an enduring and influential voice in the field of intelligent robotic systems.

Research Focus

Key Achievements

12
H-Index
19
Papers
1,070
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Multisensor fusion and integration: approaches, applications, and future research directions
613 citations · 2002
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: National Chung Cheng University, National Yunlin University of Science and Technology, WuFeng University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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