Zhijie Mao
Papers
2
Total Citations
6
H-Index
2
About
Zhijie Mao is a robotics researcher whose work bridges precision engineering and intelligent automation, with key contributions in agricultural robotics and medical interventional systems. In agricultural technology, Mao developed an innovative indoor localization method for robots operating in challenging greenhouse and breeding environments, where non-line-of-sight (NLOS) conditions degrade positioning accuracy. By integrating base station identification with an improved Black Kite Algorithm–Backpropagation (IBKA-BP) neural network, this work achieved robust, high-precision localization—a critical enabler for autonomous agricultural operations. In the medical domain, Mao designed and evaluated a novel vascular interventional surgery robot aimed at reducing surgeon fatigue during cardiovascular and cerebrovascular procedures. This system assists in the precise delivery of micro guidewires and catheters, enhancing both safety and dexterity in minimally invasive surgery. Though early in their career, Mao’s dual focus on field robotics and surgical assistance demonstrates a commitment to solving real-world challenges through intelligent mechatronics. With foundational papers already garnering citations, their work signals growing impact at the intersection of robotics, sensing, and healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2