Gaoxi Xiao
Papers
2
Total Citations
36
H-Index
2
About
Gaoxi Xiao is a leading researcher whose work spans the critical intersection of robotics, artificial intelligence, and distributed optimization. His most notable contribution lies in the development of an autonomous library robot, which integrates binocular vision and QR code identification systems to perform complex tasks like book accessing and returning. This pioneering work, published in 2019 and garnering 32 citations, addresses a pressing need for automation in modern libraries, demonstrating how AI and mobile robotics can streamline tedious manual operations with enhanced accuracy. More recently, Xiao has advanced the field of distributed optimization, proposing a zeroth-order gradient tracking method in 2023 to solve constrained optimization problems with nonidentical feasible sets. This work is particularly impactful for applications in machine learning, smart grids, and multi-robot systems, where efficient and decentralized decision-making is essential. With a growing citation record, Xiao’s research continues to bridge theoretical algorithms and practical robotic systems, offering innovative solutions that improve efficiency and autonomy in real-world environments. His contributions are a valuable resource for students and researchers exploring the frontiers of intelligent robotics and optimization.
Research Focus
Key Achievements
Top Papers
- 1
- 2Zeroth-order Gradient Tracking for Distributed Constrained Optimization4 citations · 2023