Papers

24

Total Citations

244

H-Index

10

About

Chia-Ju Wu is a robotics and automation researcher whose career spans over two decades of sustained contributions to mobile robot navigation, manipulator control, and intelligent systems. His most influential work focuses on autonomous mobile robotics, where his 2001 paper on ultrasonic sensor-based localization stands as his most cited contribution with 54 citations, demonstrating practical solutions for real-world robot positioning challenges. Wu has made notable advances in fuzzy logic applications for robotics, developing algorithms for motion planning, navigation in unknown environments, and soccer robot action selection — reflecting both theoretical depth and applied creativity. His work on potential field methods and dead-reckoning navigation, utilizing electronic compasses and ultrasonic modules, addresses fundamental challenges in autonomous operation without prior environmental knowledge. Earlier in his career, Wu established strong foundations in robotic manipulator control, contributing neural network and PID-compensation approaches for trajectory tracking, as well as time-optimal path planning for kinematically redundant manipulators. His collision detection and robot representation methodologies, grounded in convex polyhedron modeling and linear programming, have provided durable tools for the robotics community. Collectively, Wu's body of work bridges classical control theory with intelligent computing, making him a valuable reference for students exploring autonomous systems and robot intelligence.

Research Focus

Key Achievements

10
H-Index
24
Papers
244
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Localization of an Autonomous Mobile Robot Based on Ultrasonic Sensory Information
54 citations · 2001
📈 Most Prolific Year: 1996 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: National Yunlin University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago