Papers
5
Total Citations
59
H-Index
3
About
Dr. Yalong Zhang is a pioneering researcher at the intersection of robotics and surgical innovation, whose work spans two distinct but equally impactful domains. In mobile robotics, Dr. Zhang revolutionized path planning with the development of an adaptive artificial potential field (APF) method combined with a rolling window approach. This seminal 2017 paper, cited 47 times, overcomes classical APF limitations—such as local minima and goal unreachability—by introducing an adaptive repulsive potential function, enabling safer and more efficient navigation for autonomous systems. More recently, Dr. Zhang has become a leading voice in urologic robotic surgery, authoring multiple high-impact meta-analyses that compare emerging robotic platforms. Notably, their 2025 work on Retzius-sparing robot-assisted radical prostatectomy synthesizes evidence from randomized-controlled trials to demonstrate superior functional outcomes, while other studies evaluate the Senhance and Hinotori systems against the Da Vinci platform. With over 59 total citations and a growing portfolio of evidence-based surgical reviews, Dr. Zhang’s contributions are shaping both the theoretical foundations of robot motion planning and the practical adoption of next-generation surgical robots, making them a vital figure for students and researchers in robotics and medicine alike.
Research Focus
Key Achievements
Top Papers
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