Jianbo Ji

Guilin University of Aerospace Technology, Yancheng Third People's Hospital

Papers

Total Citations

H-Index

About

Dr. Jianbo Ji is a researcher whose work bridges the fields of intelligent robotics and surgical urology, demonstrating a unique interdisciplinary impact. In robotics, Dr. Ji’s key contribution lies in advancing autonomous navigation for industrial vehicles. Their highly cited 2019 study, “Study on Obstacle Avoidance of AGV based on Fuzzy Neural Network,” pioneered the application of fuzzy neural networks to help Automated Guided Vehicles (AGVs) navigate complex, unpredictable environments—a critical innovation for modern manufacturing and logistics. This work has garnered foundational citations, establishing Dr. Ji as a contributor to intelligent control systems. Simultaneously, Dr. Ji has made notable strides in medical robotics. Their 2024 paper, “Modified robot-assisted nephroureterectomy with ureteral catheterization for radical resection of the distal ureter,” introduces a refined surgical technique that enhances visualization during robot-assisted procedures for upper urinary tract cancers. By retrospectively analyzing 66 patients, Dr. Ji’s work offers a practical solution to a common surgical challenge, improving precision and outcomes. This dual focus—from factory floors to operating rooms—showcases Dr. Ji’s versatility in applying robotic principles across domains, making their research valuable for engineers and clinicians alike.