Xiaojun Qiao
Papers
2
Total Citations
10
H-Index
2
About
Xiaojun Qiao is a pioneering researcher at the intersection of human-robot collaboration, augmented reality (AR), and multi-agent systems. Their work focuses on developing intelligent frameworks that seamlessly integrate human intelligence with advanced robotics and large language models (LLMs) to enhance industrial automation. Qiao's major contributions include the creation of a multi-agent mutual trust evaluation and regulation mechanism for human-robot-XR collaborative assembly systems, a breakthrough that addresses critical safety and efficiency challenges in smart manufacturing. This work has already garnered 7 citations, signaling its growing influence. Additionally, their innovative study "You are my eyes" introduces an AR-assisted motion planning system for industrial mobile robots, leveraging human input and LLMs to improve real-time decision-making. With 3 citations, this research highlights Qiao's ability to bridge cognitive computing and physical robotics. Their achievements underscore a commitment to advancing Industry 5.0 paradigms, where trust, transparency, and human-centric design are paramount. For students and researchers, Qiao's work offers a compelling vision of how collaborative intelligence can transform modern assembly and logistics systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2