Shaoyang Huang
Papers
1
Total Citations
3
H-Index
1
About
Shaoyang Huang is a researcher advancing the frontiers of intelligent robotics, with a primary focus on vision-based manipulation and dual-arm cooperative systems. Their most cited work, "Research on Target Recognition and Grasping of Dual-arm Cooperative Mobile Robot Based on Vision" (2024, 3 citations), addresses critical challenges in service robotics for home environments—specifically, object recognition, grasping accuracy, and operational stability. Huang proposed a deep learning-driven method that leverages the YOLOv8 target detection algorithm to identify and classify four types of household objects, enabling more reliable and autonomous robot interaction. This contribution is notable for bridging computer vision and robotic control, offering practical solutions for real-world domestic assistance. While early in their citation trajectory, Huang’s work signals a promising impact on the development of more capable and adaptive service robots. Their research holds particular relevance for students and engineers exploring the integration of deep learning in robotic perception and manipulation, laying groundwork for future innovations in human-robot collaboration.
Research Focus
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Top Papers
- 1