Chan Zhi Wei

Papers

Total Citations

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About

Chan Zhi Wei is a researcher whose work sits at the intersection of robotics, artificial intelligence, and hardware implementation, with a specific focus on autonomous navigation. His primary research area involves developing intelligent control systems for mobile robots, particularly for obstacle avoidance missions. His major contribution lies in the innovative integration of neuro-fuzzy algorithms—a hybrid of neural networks and fuzzy logic—with Field Programmable Gate Arrays (FPGAs). By implementing these complex algorithms directly on Altera's FPGA development boards, he has demonstrated a practical, hardware-based approach to real-time decision-making for robots. His most cited work, "Neuro-fuzzy algorithm implemented in Altera's FPGA for mobile robot's obstacle avoidance mission" (2009, 13 citations), showcases the successful simulation and hardware deployment of this system. A related paper further explores the use of this technology for autonomous navigation tasks. While his citation counts are modest, his work represents a valuable contribution to embedded robotics, offering a pathway for creating more responsive and intelligent autonomous systems through efficient hardware-software co-design.