Yanming Miao
Papers
1
Total Citations
3
H-Index
1
About
Yanming Miao is a robotics researcher whose work focuses on intelligent grasping and manipulation strategies for robotic grippers. His key research areas include computer vision, deep learning, and autonomous robotic control, with a particular emphasis on developing effective grasp generation methods for multi-finger grippers. In his notable 2021 paper, "Research on Generation Method of Grasp Strategy Based on DeepLab V3+ for Three-Finger Gripper," Miao addresses a fundamental challenge in robotics: enabling three-finger grippers to autonomously determine optimal grasping configurations. By leveraging the DeepLab V3+ semantic segmentation architecture, his work provides a data-driven approach to generating reasonable grasp strategies that are essential for successful object manipulation and broader robotic deployment. While his citation count is still growing—with this key paper accumulating 3 citations—Miao's contributions are significant for advancing the practical application of robots in unstructured environments. His research bridges the gap between human grasping experience and machine learning, offering foundational insights that support the development of more dexterous and adaptive robotic systems for industrial and service applications.
Research Focus
Key Achievements
Top Papers
- 1