Papers
4
Total Citations
36
H-Index
2
About
Dr. Qinglin Ai is a robotics researcher whose work bridges fundamental manufacturing tasks and advanced legged locomotion. His most impactful contribution, the 2017 study on dual peg-in-hole insertion (30 citations), tackles a core challenge in automated assembly by developing a strategy that leverages environmental constraints, moving beyond traditional two- or three-dimensional approaches to improve precision in manufacturing. More recently, Dr. Ai has focused on quadruped robots, specifically those with active body joints for superior terrain adaptability. He has pioneered the use of Central Pattern Generators (CPG) for control, introducing a multi-constraint spatial coupling method (2023) and an optimal energy consumption strategy (2025) that fuses multi-sensor bio-reflection for navigating complex, rough terrain. His ongoing work also includes a 2025 survey on robotic monocular pose estimation, highlighting his interest in perception systems for autonomous navigation. Through these efforts, Dr. Ai is advancing both the dexterity of industrial robots and the autonomy of field robots, making significant strides in how machines interact with and move through the physical world.
Research Focus
Key Achievements
Top Papers
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- 4A Survey of Robotic Monocular Pose Estimation1 citations · 2025