Peiheng Song

Qingdao Academy of Intelligent Industries, Peng Cheng Laboratory

Papers

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About

Peiheng Song is a robotics researcher whose work bridges the gap between artificial intelligence and biomimetic mechanical design. His primary research areas include intelligent robotic systems, bionic locomotion, and vision-based autonomous manipulation. Song’s major contributions lie in developing perceptive and planning architectures that enable robots to interact with their environments with unprecedented autonomy. His most cited work, "Design and Development of an Intelligent Pet-Type Quadruped Robot" (2021, 4 citations), introduces the OM-C01—a lifelike robotic dog that employs a 2-DoF five-bar parallel mechanism for bionic thigh and shank motion, demonstrating how AI can transform robotic artistry into functional engineering. In a complementary study, "Vision‐Based Intelligent Perceiving and Planning System of a 7‐DoF Collaborative Robot" (2021, 3 citations), Song proposed a deep learning-driven system (IPPS) for a 7-DoF manipulator with a three-finger hand, enabling real-time object recognition and adaptive grasping. Though early in his career, Song’s work has already garnered attention for its integration of artistic inspiration with rigorous mechanical design, positioning him as an emerging voice in intelligent robotics and human-robot collaboration.