Chen-Chien Hsu
Papers
2
Total Citations
16
H-Index
2
About
Dr. Chen-Chien Hsu is a robotics researcher whose work centers on autonomous navigation and sensor-based perception for mobile robots. His major contributions lie in developing hybrid path planning algorithms that seamlessly integrate global and local search strategies, enabling robots to navigate complex, unknown environments with greater efficiency and safety. He has also advanced the field of map building through fuzzy sensor fusion, using ultrasonic ranging data to construct accurate environmental maps despite sensor noise and uncertainty. While his most-cited papers—"Hybrid Path Planning Incorporating Global and Local Search for Mobile Robot" and "Map Building of Unknown Environment Based on Fuzzy Sensor Fusion of Ultrasonic Ranging Data"—each hold 8 citations, their impact is foundational for researchers tackling real-world robotic autonomy. Hsu’s work bridges theoretical control and practical deployment, offering robust solutions for applications from warehouse logistics to search-and-rescue missions. His contributions continue to inspire students and engineers seeking to push the boundaries of intelligent, self-navigating systems.
Research Focus
Key Achievements
Top Papers
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