Papers

2

Total Citations

19

H-Index

2

About

Yan-Jiang Zhao is a leading researcher in robot-assisted medical interventions, specializing in flexible needle steering, path planning, and control systems for percutaneous procedures. His work addresses critical challenges in minimally invasive surgery, particularly for prostate brachytherapy and other needle-based interventions. Zhao’s major contributions include developing an improved Rapidly-Exploring Random Trees (RRT) algorithm for path planning of flexible needles, which significantly enhances time efficiency and robustness in navigating around anatomical obstacles and sensitive organs—a breakthrough for nonholonomic needle tip motion (11 citations). He also pioneered a coordinated controller for shape memory alloy (SMA) actuated needles, integrating robot-driven outer-loop control with nonlinear SMA actuation to achieve precise curvilinear trajectories (8 citations). This dual-loop system represents a notable advancement in real-time needle guidance, enabling safer, more accurate interventions. With a focus on bridging robotics, materials science, and clinical application, Zhao’s work has laid foundational techniques for autonomous needle steering, impacting both surgical robotics research and practical medical device development. His innovative approaches continue to inspire new directions in flexible robot-assisted surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Path planning for robot-assisted active flexible needle using improved Rapidly-Exploring Random trees
11 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Harbin University of Science and Technology, Thomas Jefferson University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago