Max Robotics — Global Service Robot Directory + US Certification

About

Minmin Miao is pioneering the next generation of brain-computer interfaces (BCIs) that seamlessly integrate human intention with autonomous machine intelligence. Her research centers on developing noninvasive, continuous control systems for assistive robotics, directly addressing the critical challenge of translating neural signals into smooth, real-world actions. Miao’s most influential work, a 2022 study with 65 citations, demonstrates a groundbreaking hybrid BCI that fuses electroencephalogram (EEG) signals with computer vision and eye tracking to achieve continuous, multi-degree-of-freedom control of a robotic arm—a significant leap from discrete, single-command systems. She further advanced the field with a 2023 paper (21 citations) introducing a shared control strategy for mobile robots, where a user’s brain commands are intelligently blended with autonomous navigation for daily assistance. Earlier, her 2017 work on motor imagery pattern recognition (15 citations) validated the feasibility of decoding fine finger movements from EEG, laying the foundation for more dexterous prosthetic control. By tackling the bottleneck of continuous, noninvasive BCI control, Miao is bringing brain-actuated assistive technology closer to practical, life-changing applications for individuals with physical disabilities.