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About

Haozhen Dong is a robotics researcher specializing in the control and actuation of human-like robotic systems, with a particular focus on hydraulic and series elastic actuators. His work addresses the fundamental challenge of achieving precise, stable motion in robots that must interact with complex, nonlinear environments. Dong’s most cited paper, “Kinematic calibration method for a two-segment hydraulic leg based on an improved whale swarm algorithm” (29 citations), introduces a novel optimization technique that significantly enhances the accuracy of legged robots. He has further advanced the field by developing admittance and position control methods for hydraulic series elastic actuators (SEA), which are critical for reducing output impedance and improving force control during human-robot interaction. Notably, his 2019 paper on an interval type-2 fuzzy logic controller, optimized via an improved drone squadron algorithm, directly tackles the nonlinear dynamics of hydraulic systems, offering a robust solution for human-like robots. With a total of 53 citations across his most-cited works, Dong’s contributions are shaping the next generation of compliant, high-performance robotic actuators, making him a key figure in the pursuit of safer and more capable humanoid robots.