Max Robotics — Global Service Robot Directory + US Certification

About

Mingrui Chen is a multidisciplinary researcher whose work spans neuromorphic computing, flexible electronics, computer vision, and spinal surgery. His most influential contributions lie at the intersection of materials science and brain-inspired computing, where he has pioneered the development of organic and carbon nanotube-based artificial synaptic devices. His landmark 2019 paper on fully printed, all-solid-state flexible artificial synapses — now cited over 100 times — demonstrated a practical pathway toward neuromorphic hardware for applications in soft robotics, medical implants, and human-machine interfaces. Building on this foundation, his 2025 work on stretchable carbon nanotube synaptic transistor arrays addresses critical fabrication challenges, advancing the field toward scalable, high-yield neuromorphic systems. Chen has also made contributions to autonomous driving and robotic perception, with his OccDepth framework offering a depth-aware approach to 3D semantic scene completion that has garnered significant attention in the computer vision community. Rounding out his diverse portfolio, his clinical research on robotic-assisted cortical bone trajectory screw techniques reflects a commitment to translational medical innovation. Across these domains, Chen consistently bridges fundamental device physics with real-world engineering applications.