Papers
8
Total Citations
281
H-Index
7
About
Ping Ji is a researcher whose work spans two distinct but complementary domains: advanced robotics and intelligent warehouse automation systems. Early in his career, Ji made foundational contributions to robotic manipulator design, including kinematic analysis of parallel robotic mechanisms and parameter identification for modular platform manipulators, work that established his expertise in the mechanical underpinnings of robotics. Over the past decade, Ji has emerged as a leading voice in Cyber-Physical Robotic Mobile Fulfillment Systems (RMFS), addressing critical challenges in smart manufacturing and e-commerce logistics. His highly cited research integrates Internet of Things (IoT) technologies, cloud computing, and data-driven methods to optimize warehouse operations — from collision avoidance and storage location assignment to order correlation pattern recognition and robot charging scheduling. His 2020 paper on cloud-based cyber-physical RMFS collision avoidance has garnered 61 citations, with subsequent work on data-driven order correlation (59 citations) and IIoT-driven resource synchronization (58 citations) reinforcing his sustained influence in the field. Ji's cumulative body of work reflects a coherent research vision: bridging physical robotics with intelligent digital systems to transform modern supply chain operations, making him an essential reference for researchers in smart manufacturing and warehouse automation.
Research Focus
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Top Papers
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