Jia-Ming Liang

Chang Gung University

Papers

1

Total Citations

8

H-Index

1

About

Jia-Ming Liang is a leading researcher in autonomous robotics and intelligent retail systems, with a focus on developing practical, human-centered solutions for next-generation commerce. His most notable contribution is the design of the autonomous shopping-guide robot for cashier-less convenience stores, a pioneering work that addresses the operational challenges of employee-free retail environments. This robot, which guides customers through their shopping experience, represents a significant step toward fully automated retail, earning 8 citations and highlighting Liang’s role in bridging robotics and real-world consumer applications. His research integrates robotics, computer vision, and human-robot interaction to create systems that enhance efficiency and user experience. Liang’s work is particularly impactful for its direct applicability in emerging cashier-less store models, such as those pioneered by Amazon, positioning him as a key innovator in the field. By tackling the practical demands of autonomous navigation and customer guidance, he has laid groundwork for scalable robotic assistants in retail, making his contributions essential reading for students and researchers interested in the future of service robotics and smart commerce.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
The Autonomous Shopping-Guide Robot in Cashier-Less Convenience Stores
8 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chang Gung University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago