Haili Qian

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About

Haili Qian is a roboticist whose research focuses on the modeling, optimization, and dynamic control of legged and 3D-printing robotic systems. His work bridges the gap between theoretical dynamics and practical robot design, with key contributions in gait planning for one-legged robots and precision compensation for additive manufacturing. In his highly cited 2012 paper on "3D printing robot: model optimization and image compensation" (6 citations), Qian developed methods to enhance print accuracy through image-based error correction, a foundational approach for adaptive robotic fabrication. His 2014 study on "Varying velocity hopping gait planning of a one-legged robot" (5 citations) introduced a modified spring-loaded inverted pendulum (SLIP) model, analyzing the flight, impact, and stance phases of hopping using a Newton-Euler recursive dynamics framework. This work provided a rigorous hybrid dynamics model that enables stable, variable-speed locomotion—a critical step toward agile, energy-efficient legged robots. Though still early in his career, Qian’s integrated approach to robot dynamics and manufacturing control has established him as a thoughtful contributor to both robotic locomotion and automated construction technologies.