Li-Yu Yeh
Papers
1
Total Citations
21
H-Index
1
About
Li-Yu Yeh is a robotics researcher whose work centers on intelligent manipulation and perception for autonomous systems. Her most cited contribution, "Manipulation Planning for Object Re-Orientation Based on Semantic Segmentation Keypoint Detection" (2021, 21 citations), introduces a novel framework that enables robot manipulators to detect and re-orient randomly placed objects to specified positions and poses. The method combines semantic segmentation with 3D keypoint detection, allowing robots to understand object geometry and plan precise re-orientation actions—a critical capability for industrial automation and service robotics. This work bridges computer vision and manipulation planning, demonstrating how semantic understanding can guide physical interaction. Yeh's research addresses fundamental challenges in robotic dexterity, particularly the ability to handle objects in unstructured environments without prior knowledge of their orientation. Her approach has been cited by researchers working on grasping, assembly, and human-robot collaboration, reflecting its relevance to advancing autonomous manipulation. By integrating perception and control, Yeh contributes to making robots more adaptable and capable in real-world settings, from manufacturing floors to household environments.
Research Focus
Key Achievements
Top Papers
- 1