About

Takanori Fukao is a versatile robotics researcher whose work spans nonholonomic control systems, agricultural automation, and autonomous robots. He first gained significant recognition in mobile robotics, where his 2000 paper on adaptive tracking control of nonholonomic mobile robots accumulated an impressive 800 citations, establishing him as a leading voice in kinematic and dynamic control theory. His subsequent work on image-based visual tracking and inverse optimal control further solidified his foundational contributions to autonomous mobile robot navigation. In recent years, Fukao has pivoted toward agricultural robotics, addressing pressing global challenges of food security and labor shortages. His 2019 deep learning-based fruit harvesting robot paper drew 194 citations, demonstrating both technical innovation and real-world relevance. He has continued advancing this field through dual-arm harvesting systems, RGB-D fruit recognition, and point cloud-based tomato peduncle detection, collectively representing a comprehensive research program in precision agricultural automation. Beyond these domains, Fukao has also explored disaster-response applications through autonomous blimp robots and robust grasping strategies for industrial assembly. His body of work reflects a consistent commitment to bridging control theory with practical robotic systems, making him a notable figure for students interested in autonomous robotics, computer vision, and intelligent agricultural technologies.

Research Focus

Key Achievements

16
H-Index
42
Papers
1,609
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive tracking control of a nonholonomic mobile robot
800 citations · 2000
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 61
🏛 Institutions: Kyoto University, Ritsumeikan University, The University of Tokyo, Kobe University, National Agriculture and Food Research Organization

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago