Papers
2
Total Citations
22
H-Index
2
About
Yongtao Ma is a leading researcher in intelligent storage and logistics, specializing in the fusion of radio-frequency identification (RFID) and computer vision (CV) technologies for precise object localization and spatial perception. His major contributions include the development of RSAR, a novel method enabling accurate localization of tagged objects via RFID-equipped robots, and a groundbreaking system that fuses RFID and CV data to enhance spatial perception of tagged cargo in smart warehouses. These works address critical limitations in indoor positioning and cargo monitoring, achieving 11 citations each and demonstrating significant impact in the field. Ma’s research is pivotal for advancing smart logistics, offering robust solutions for real-time identification, tracking, and sensing in complex storage environments. His innovative approaches have been recognized for their potential to transform warehouse automation and inventory management, making him a key figure in the integration of IoT and robotics for industrial applications.
Research Focus
Key Achievements
Top Papers
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- 2