Max Robotics — Global Service Robot Directory + US Certification

About

Zengqiang Chen is a pioneering researcher in robotics and control systems, whose work spans rehabilitation engineering, multi-agent systems, and autonomous aerial vehicles. His most impactful contribution lies in advancing surface electromyogram (sEMG)-based control for myoelectric prosthetic hands, where he developed a wavelet neural network combined with discrete wavelet transform to decode hand motion commands—a breakthrough that has garnered 185 citations and holds transformative potential for amputee rehabilitation. Chen has also made significant strides in adaptive flocking control for non-linear multi-agent systems with uncertain parameters, addressing fundamental challenges in coordinated robotics. His expertise extends to active disturbance rejection control (ADRC) and its linear variant (LADRC), which he has applied to parafoil airdrop robots, quad-rotor attitude control, and autonomous underwater vehicles, demonstrating remarkable robustness against non-linearity and environmental disturbances. Through his work on low-cost home service robots using TurtleBot and ROS, Chen addresses pressing societal needs in aging and disability assistance. His research portfolio reflects a deep commitment to bridging theoretical control innovations with practical robotic applications, establishing him as a key figure in intelligent autonomous systems.