Papers
2
Total Citations
26
H-Index
2
About
Ruixue Wang is a researcher advancing intelligent automation in agriculture, with a focus on robotics for livestock and crop management. Her work centers on navigation, obstacle avoidance, and perception systems for autonomous agricultural robots. Wang’s most cited paper, “Research on Navigation Path Extraction and Obstacle Avoidance Strategy for Pusher Robot in Dairy Farm” (2022, 17 citations), addresses the limitations of magnetic induction technology in existing push robots, which are prone to electromagnetic interference and lack intelligence. She proposes a novel navigation strategy that enhances autonomy and reliability, directly tackling labor inefficiencies in dairy farming. In her more recent work, “Semantic segmentation-based observation pose estimation method for tomato harvesting robots” (2025, 9 citations), Wang applies deep learning to improve robotic perception, enabling precise pose estimation for fruit picking. Her contributions bridge the gap between robotics and precision agriculture, offering scalable solutions to labor shortages and operational inefficiencies. With a growing citation record, Wang’s research is gaining traction among engineers and agritech developers, positioning her as a rising voice in smart farming innovation.
Research Focus
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Top Papers
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