Papers
7
Total Citations
349
H-Index
5
About
Liqiao Xia is an emerging researcher at the forefront of smart manufacturing, human-robot collaboration (HRC), and intelligent automation systems. His work spans cognitive manufacturing networks, robotic fulfillment systems, and the integration of artificial intelligence into industrial environments, reflecting a deep commitment to realizing the vision of Industry 5.0's human-centric manufacturing paradigm. Xia's most influential contribution, "Towards Self-X Cognitive Manufacturing Network" (2021, 203 citations), introduced a groundbreaking industrial knowledge graph-based multi-agent reinforcement learning framework, establishing him as a key voice in autonomous manufacturing intelligence. His sustained focus on human-robot collaboration has yielded significant advances in visual reasoning and mutual cognition, enabling robots to perceive, interpret, and respond to human actions with greater sophistication, as demonstrated across multiple high-impact publications. More recently, Xia has pioneered the integration of large language models into HRC systems, applying them to natural language-based robot instruction and Bayesian-network-enhanced disassembly planning for remanufacturing—areas of growing industrial relevance. His work on robotic mobile fulfillment systems further demonstrates his breadth across warehouse automation and path-planning optimization. With over 349 cumulative citations, Xia represents a promising and rapidly evolving research presence bridging AI, robotics, and sustainable manufacturing.
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