Max Robotics — Global Service Robot Directory + US Certification

About

Jianqun Cheng is a leading researcher at the intersection of wearable human-machine interaction (HMI) and intelligent robotic systems. His primary research areas encompass surface electromyographic (sEMG) signal processing, edge artificial intelligence (AI), and advanced tactile sensing technologies. Cheng’s major contributions include the development of a pioneering sEMG-based wearable HMI system that enables real-time robotic arm control through gesture and motion recognition, leveraging deep learning algorithms optimized for edge computing. This work, cited 5 times, demonstrates a paradigm shift toward intelligent, natural interaction in robotics. Additionally, he has engineered a flexible, wide-range three-axis pressure sensor array with high sensitivity, designed specifically for robotic grasping feedback. This 2024 innovation, which integrates a 4×2 three-dimensional sensing unit and a 240-channel acquisition circuit, has garnered 3 citations for its potential to enhance dexterous manipulation. Cheng’s research is notable for bridging the gap between biological signals and machine control, offering scalable solutions for assistive robotics and industrial automation. His achievements highlight a commitment to real-time, resource-efficient AI, positioning him as a key figure in the evolution of intuitive human-robot collaboration.