Yipai Du
Scholar

Yipai Du

Google Scholar ID: Ns81ilQAAAAJ
Hong Kong University of Science and Technology
Tactile SensingManipulationRobot Learning
Citations & Impact
All-time
Citations
210
 
H-index
7
 
i10-index
7
 
Publications
12
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Paper “Hanging a T-Shirt: A Step towards Deformable Peg-in-Hole Manipulation with Multimodal Tactile Feedback” accepted to ROBIO 2024
  • - Paper “Stick Roller: Precise In-hand Stick Rolling with a Sample-Efficient Tactile Model” accepted to IROS 2024
  • - Released Gsmini software for better interface with the GelSight Mini tactile sensor
  • - Won 2nd place in the Three Minute Thesis Competition of HKUST in April 2023
  • - Paper “3D Contact Point Cloud Reconstruction from Vision-based Tactile Flow” accepted to RA-L and ICRA 2023
  • - Awarded Best Teaching Assistant Award by the ECE Department of HKUST
  • - Paper “DelTact: A Vision-based Tactile Sensor Using a Dense Color Pattern” accepted to RA-L 2022
  • - Paper “SpecTac: A Visual-Tactile Dual-Modality Sensor Using UV Illumination” accepted to ICRA 2022
  • - Paper “A Tactile Sensing Foot for Single Robot Leg Stabilization” accepted to ICRA 2021
Research Experience
  • - Visiting scholar at the MARS Lab, Purdue University since July 2022, working with Prof. Yu She
  • - During PhD, visited the MARS Lab at Purdue University and worked with Prof. Yu She on the GelSight and Digit tactile sensors
Education
  • - PhD, Robotics Institute, HKUST, supervised by Prof. Michael Yu Wang and Prof. Bertram Emil Shi
  • - Master's degree, Systems, Control and Robotics, KTH Royal Institute of Technology, master thesis on “Learning Dynamical Features for Vision-based Tactile Sensors” at ETH Zurich, supervised by Prof. Raffaello D’Andrea and Dr. Carmelo Sferrazza
  • - Bachelor's degree, Electrical and Computer Engineering, University of Michigan - Shanghai Jiao Tong University Joint Institute
Background
  • Research Interests: Vision-based tactile sensing, robotic manipulation, and robot learning. Specializes in sensor design, signal processing, and tactile applications.
Miscellany
  • Personal interests not mentioned