Papers
6
Total Citations
89
H-Index
5
About
Xingyu Gao is a pioneering roboticist whose research fuses biomimetic sensing, intelligent manufacturing, and adaptive machine learning. His most impactful work, the GTac tactile sensor (2022, 40 citations), replicates human skin’s ability to simultaneously perceive normal and shear forces, enabling robots to grasp delicate objects with unprecedented precision—a breakthrough for dexterous manipulation. Gao also advances industrial robotics: his improved wavelet denoising technique for arc sound signals (2023, 10 citations) enhances weld penetration monitoring in shipbuilding, while his non-pooling YOLOv5 algorithm (2022, 10 citations) solves the challenge of recognizing randomly distributed parts for automated cleaning. Earlier, he pioneered adaptive incremental learning for social robots (2015, 21 citations), allowing machines to continuously update their semantic understanding from real-world interactions. His unified framework for hand-eye calibration and structured-light scanning (2024) streamlines robotic vision systems. With over 89 citations across his top works, Gao bridges soft robotics, manufacturing automation, and cognitive systems, demonstrating how tactile intelligence and adaptive algorithms can transform both collaborative robots and heavy industry.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Research on Stability of Dual-Arm Cooperative Execution Task2 citations · 2019