Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Fuqiang Gu is a leading researcher in intelligent robotics and neuromorphic perception, with a focus on tactile sensing, visual navigation, and event-based data processing. His most impactful contribution is **TactileSGNet**, a spiking graph neural network for event-driven tactile object recognition (51 citations), which addresses the challenge of enabling robots with human-like touch perception using flexible, asynchronous electronic skins. Dr. Gu also developed **ORB-NeuroSLAM** (20 citations), a brain-inspired 3D SLAM system that reduces computational complexity and power consumption for robust autonomous navigation in unknown environments. His work on **EdgeVO** (12 citations) advances visual odometry in textureless or poorly lit scenes, while **EventAugment** (5 citations) pioneers data augmentation strategies for event-based data, overcoming overfitting in deep learning models. Dr. Gu’s research consistently bridges bio-inspired algorithms with practical robotics, achieving high temporal resolution and energy efficiency. His contributions are widely cited in robotics, autonomous systems, and neuromorphic computing communities, demonstrating significant impact in advancing intelligent, low-power navigation and tactile perception for real-world applications.