Changhui Wang

Northeastern University, Yantai University

Papers

Total Citations

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About

Changhui Wang is a robotics and control systems researcher whose work bridges human-robot interaction and advanced nonlinear control. His primary research areas include voice-controlled robotic systems, dual-arm manipulation, and adaptive control of soft actuators. Wang’s most notable contribution is the development of a voice control system for a dual-arm robot using the Robot Operating System (ROS), integrating iFLYTEK’s speech recognition to enable intuitive, hands-free operation. This work, published in 2018, has garnered 15 citations and demonstrates a practical approach to making industrial robots more accessible through natural language commands. More recently, Wang has advanced the field of pneumatic muscle actuator control, proposing an adaptive fuzzy dynamic surface control method that addresses full-state constraints and external disturbances—a critical challenge in soft robotics. This 2025 paper, though newly published, signals his growing expertise in robust control theory. Wang’s work is particularly valuable for researchers exploring human-robot collaboration, assistive robotics, and compliant actuation systems, offering both hardware-software integration and theoretical control solutions that push the boundaries of safe, responsive robot operation.