Thuy-Hong-Loan Le
Papers
5
Total Citations
175
H-Index
5
About
Thuy-Hong-Loan Le is a leading researcher in robotic tactile sensing and dexterous manipulation, with a particular focus on enabling robots to handle complex, unstructured objects. Her work bridges the critical gap between vision-based systems and the nuanced feedback required for human-like grasping. Le’s major contributions include the development of a highly sensitive multimodal capacitive tactile sensor (60 citations), which provides the rich, real-time feedback essential for robotic grippers to manipulate flexible items like textiles and garments. She has also pioneered novel approaches to grasp stability assessment, using unsupervised feature learning of tactile images (42 citations) to allow robots to handle never-before-seen objects without prior training. Her work on large-scale robot skin design (18 citations) and supporting design toolboxes (8 citations) provides foundational methodologies for covering entire robots with artificial tactile sensing. Notably, Le’s research on a specialized flexible gripper for garment handling (47 citations) addresses the unique challenges of the textile industry, where materials lack stable shape. Her work is instrumental in advancing automation for manufacturing and service robotics, bringing robots closer to human-level tactile intelligence.
Research Focus
Key Achievements
Top Papers
- 1A highly sensitive multimodal capacitive tactile sensor60 citations · 2017
- 2On the Development of a Specialized Flexible Gripper for Garment Handling47 citations · 2013
- 3
- 4Skinning a Robot: Design Methodologies for Large-Scale Robot Skin18 citations · 2016
- 5