Jinhai Wang
Papers
11
Total Citations
406
H-Index
9
About
Jinhai Wang is a leading researcher in agricultural robotics, specializing in computer vision and intelligent perception systems for fruit harvesting automation. His work primarily focuses on developing robust detection, segmentation, and localization methods for grape clusters in complex vineyard environments. Wang’s major contributions include pioneering the use of Swin Transformer architectures for grape bunch detection (SwinGD, 59 citations), and developing innovative approaches to in-field pose estimation using point cloud segmentation and geometric analysis (59 citations). His highly cited 2024 paper on dynamic visual servo control for continuous fruit harvesting robot operation (119 citations) represents a significant advancement in practical agricultural automation. Wang has also made notable contributions to grape berry counting and size measurement through edge image processing (45 citations), and has developed lightweight deep learning networks for recognition in unstructured environments (22 citations). His recent work extends to flexible tactile sensors for robotic soft grippers (12 citations) and DRL-enhanced 3D detection of occluded stems (9 citations), demonstrating his comprehensive approach to solving real-world harvesting challenges. With over 400 total citations across his publications, Wang continues to advance the frontier of precision agriculture robotics.
Research Focus
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Top Papers
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- 9DRL-enhanced 3D detection of occluded stems for robotic grape harvesting9 citations · 2024
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