Quan Khanh Luu
Papers
10
Total Citations
142
H-Index
5
About
Quan Khanh Luu is a robotics researcher whose work sits at the intersection of tactile sensing, soft robotics, and human-robot interaction. His research primarily focuses on developing vision-based tactile sensing systems that can scale beyond traditional fingertip applications to cover entire robot bodies, enabling safer and more intuitive physical interaction between humans and robots. His most cited work, "Simulation, Learning, and Application of Vision-Based Tactile Sensing at Large Scale" (2023, 62 citations), represents a landmark contribution to large-scale robotic skin, demonstrating how tactile intelligence can be extended across whole-body surfaces. Complementing this, his investigations into soft robotic links with controllable transparency introduce novel multimodal sensing capabilities that integrate proximity and tactile perception within a single compliant structure. Luu has also advanced practical grasping solutions, addressing the challenge of handling wet, deformable objects through bio-inspired micro-patterned interfaces (23 citations), and expanded robotic fabrication possibilities through robot-arm-integrated 3D printing systems. More recently, he has pushed toward emotionally and thermally aware human-robot interaction, incorporating thermal display and Web of Tactile Things frameworks into robotic skin paradigms. With over 140 cumulative citations, Luu's contributions are shaping the future of safe, perceptive, and socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4A 3-Dimensional Printing System Using an Industrial Robotic Arm15 citations · 2021
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- 7TacLink-Integrated Robot Arm toward Safe Human-Robot Interaction4 citations · 2024
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