Shixi Tang
Papers
5
Total Citations
112
H-Index
4
About
Shixi Tang is a robotics researcher whose work lies at the intersection of intelligent control, precision agriculture, and robotic manipulation. His most impactful contribution is a parameter identification method for robot manipulators handling unknown payloads, published in 2022 and cited 62 times, where he developed an improved chaotic sparrow search algorithm that significantly enhances robotic adaptability. Tang has also made notable advances in agricultural robotics, creating a high-precision apple recognition and localization system using RGB-D data and improved SOLOv2 instance segmentation (25 citations), which is critical for developing efficient apple-picking robots. His earlier work includes a calibrating algorithm for Delta Robot visual positioning using artificial neural networks (13 citations), and he has addressed robust control challenges through a hierarchical multiloop model predictive control scheme with nonlinear disturbance observers (8 citations). Tang’s research on neural network eigen solutions for grinding robots in complex environments further demonstrates his versatility in applying machine learning to robotic control. With cumulative citations exceeding 110, his work is shaping the future of autonomous manipulation in both industrial and agricultural settings.
Research Focus
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Top Papers
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