Max Robotics — Global Service Robot Directory + US Certification

About

Haolan Zhang is a researcher at the intersection of robotics, artificial intelligence, and brain-computer interfaces (BCI), with a particular focus on noninvasive human-computer interaction for robotic control. His work spans EEG-based signal processing, visual SLAM algorithms, and the application of AI in specialized surgical contexts. Zhang's most cited paper (14 citations) introduces a self-adjusting EEG data analysis method using optimized sampling for robot control, advancing noninvasive BCI techniques. He has also contributed to improving visual SLAM robustness through an enhanced ORB-SLAM2 algorithm that incorporates information entropy and image sharpening (9 citations). Notably, his 2025 review on robotic and AI technologies in spinal surgery addresses the pressing challenge of delivering specialized surgical care to remote and high-altitude regions of China, highlighting the translational potential of his work. Additional contributions include EEG graph generation for brain wave pattern recognition and comprehensive surveys of noninvasive human-computer interface methods. Zhang's research demonstrates a consistent commitment to making intelligent robotic systems more accessible, adaptive, and clinically relevant, bridging fundamental signal processing with real-world applications in healthcare and autonomous navigation.