Song Hao Piao

Papers

Total Citations

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About

Dr. Song Hao Piao is a robotics researcher whose work centers on humanoid robot locomotion, particularly the computational modeling and optimization of bipedal gait. His most cited contribution, "Research of Robot Gait Based on Evolution Algorithms" (2011), introduces a novel approach to gait synthesis by combining a 3D inverted pendulum model with evolutionary computation. In this work, Dr. Piao develops precise trajectories for the hip and ankle joints by computing the center of mass (CoM) path, and refines waist positioning using a multi-link model to enhance stability and natural movement. Though his citation count is modest—with this paper garnering 3 citations—the research represents a foundational step in applying evolutionary algorithms to humanoid robotics, offering a systematic method for generating adaptive, energy-efficient gaits. His work is particularly valuable for students and researchers exploring the intersection of bio-inspired control, optimization, and mechanical design in legged robots. Dr. Piao’s focus on algorithm-driven gait generation continues to inform efforts in creating more agile and autonomous humanoid systems.