Chien-Chun Wang

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About

Chien-Chun Wang is a robotics researcher whose work bridges intelligent control, human-robot interaction, and cloud-based navigation systems. His most influential contribution is the 2017 paper "Fuzzy Logic Controller Design for Intelligent Robots," which has garnered 38 citations. In this work, Wang introduced a fuzzy logic controller that enables robots to mimic biological behaviors—such as obstacle avoidance and wall-following—by integrating multiple ultrasonic sensors for real-world data collection. This approach marked a significant step toward more adaptive, bio-inspired robotic movement. Building on this foundation, Wang's 2019 study on a "Cloud-based Dialog Navigation Agent System for Service Robots" (6 citations) addressed a critical limitation in human-robot interaction: the reliance on rigid language commands and complex button operations. He designed a cloud-based dialog navigation agent (CDNA) for a campus navigation robot (CNR), allowing users to interact more naturally through conversational dialogue while leveraging cloud computing for enhanced processing. Together, these works demonstrate Wang's commitment to making robots more intuitive, autonomous, and capable of operating in unstructured environments—key contributions to the fields of intelligent robotics and service automation.