Papers
9
Total Citations
126
H-Index
6
About
Jiacheng Xie is at the forefront of integrating extended reality (XR), artificial intelligence, and robotics to transform industrial automation, particularly within the emerging framework of the industrial metaverse and Industry 5.0. His research primarily focuses on human-robot collaboration, intelligent navigation, and the automation of heavy mining machinery. Xie’s most impactful work, “A new XR-based human‐robot collaboration assembly system based on industrial metaverse,” has garnered 50 citations, establishing a foundational approach for immersive, collaborative manufacturing. He has also made significant contributions to autonomous navigation with his “Inspection Robot Navigation Based on Improved TD3 Algorithm” (22 citations), which addresses the critical challenge of robot movement in dynamic environments. In the mining sector, Xie has developed novel methods for the virtual straightening of scraper conveyors and path planning for hydraulic supports, directly improving the precision and efficiency of longwall mining operations. His recent work explores multi-agent trust evaluation and the integration of large language models (LLMs) with augmented reality for human-centric decision-making, pushing the boundaries of how humans and machines interact in complex industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Inspection Robot Navigation Based on Improved TD3 Algorithm22 citations · 2024
- 3
- 4
- 5
- 6
- 7
- 8
- 9