AnFan Zhang

Shenyang Institute of Automation, Hainan Tropical Ocean University, Shenzhen Polytechnic

Papers

Total Citations

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About

AnFan Zhang is a researcher focused on the intersection of bio-inspired robotics and continuum manipulators, with key contributions in the control and optimization of eel-like robots and force-sensing mechanisms for flexible surgical tools. Zhang’s most cited work, “Curved path following control for planar eel robots” (2018, 12 citations), introduces novel control strategies that enable serpentine robots to navigate complex trajectories, advancing the field of underwater and soft robotics. Building on this, Zhang applied multi-objective optimization via the NSGA-II algorithm to enhance the performance parameters of eel robots (2019, 4 citations), demonstrating a systematic approach to design trade-offs. More recently, Zhang’s 2024 study on continuum robots investigates external force sensing methods, identifying error sources to improve haptic feedback in minimally invasive surgery—a critical step toward safer robotic interventions. With a growing citation footprint, Zhang’s work bridges fundamental robotics theory with practical applications in exploration and medicine, offering valuable insights for students and researchers interested in bio-inspired locomotion and flexible manipulator design.