Papers
11
Total Citations
69
H-Index
4
About
Yongfei Xiao’s research bridges industrial automation and human-robot interaction, with key contributions in robot vision, gripper design, and wearable exoskeletons. His most cited work, “A combined 2D-3D vision system for automatic robot picking” (18 citations), introduces a hybrid vision technique that integrates 2D detection with 3D spatial localization, enabling robots to efficiently pick randomly placed workpieces in cluttered environments—a critical advance for manufacturing efficiency. He further advances industrial robotics through “Design and grip force control of dual-motor drive electric gripper with parallel fingers” (9 citations), developing a flexible gripper with independent finger control and force sensing for adaptive grasping. In the field of assistive robotics, Xiao’s “Bionic Knee Joint Structure and Motion Analysis of a Lower Extremity Exoskeleton” (9 citations) tackles human-machine compliance by proposing a four-bar knee mechanism that improves natural motion for wearable exoskeletons. His work on “An automatic robot unstacking system based on binocular stereo vision” (9 citations) demonstrates practical applications in logistics, combining shape-based matching with 3D vision for reliable package handling. With over 60 total citations, Xiao’s research has tangible impact on both industrial robot precision and the ergonomic design of assistive devices, reflecting a career dedicated to making robots more perceptive, dexterous, and human-friendly.
Research Focus
Key Achievements
Top Papers
- 1A combined 2D-3D vision system for automatic robot picking18 citations · 2014
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- 4An automatic robot unstacking system based on binocular stereo vision9 citations · 2014
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- 8Design of a Underactuated Robotic Hand with Three Articulated Fingers3 citations · 2018
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