Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Long Meng is pioneering the next generation of neural-driven robotic control, focusing on the intersection of neuroengineering, rehabilitation robotics, and human-machine interaction. Their central research mission is to decode dexterous, multi-finger movements directly from neural signals—specifically, motoneuron discharge activities extracted from surface electromyogram (sEMG)—to enable intuitive, long-term control of assistive robotic hands for individuals with neural or muscular injuries. Dr. Meng’s major contributions include developing novel unsupervised neural decoding frameworks that predict concurrent and continuous finger forces without requiring labeled training data, a significant leap beyond traditional supervised methods. Their work on long-term finger force predictions directly addresses the critical challenge of performance degradation across sessions, a key barrier to real-world prosthetic adoption. With over 30 citations across their most-cited works, including a 2024 paper on unsupervised neural decoding for multi-finger force prediction (13 citations), Dr. Meng’s research is establishing the physiological and algorithmic foundations for more natural, reliable, and adaptive myoelectric control. Their recent 2025 studies on real-time neural-drive decoding and direct learning of neuronal firing representations mark them as a rising leader in creating truly intuitive brain-machine interfaces for restoring hand function.