Guanqun Cao
Scholar

Guanqun Cao

Google Scholar ID: _VWaWOwAAAAJ
Lecturer, Bristol Robotics Laboratory; University of the West of England
machine learningtactile sensing
Citations & Impact
All-time
Citations
347
 
H-index
10
 
i10-index
10
 
Publications
19
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Awarded the UWE New Starter Research Development Scheme; will serve as a Young-career Editor for Robot Learning from September 2025; paper titled 'Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models' accepted to PRICAI 2025; paper 'BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages' awarded Best Resource Paper at ACL 2025; paper 'Wireless Tactile Sensor with Embedded Neural Network for Multifunctional Contact Detection' awarded Best Application Paper at ICAC 2025; paper 'Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders' accepted to IROS 2023; paper 'TouchRoller: A Rolling Optical Tactile Sensor for Rapid Assessment of Textures for Large Surface Areas' accepted to Sensors; paper 'Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation' accepted to ICRA 2023.
Research Experience
  • Was a research associate at the University of York from 2024 to 2025; joined Bristol Robotics Laboratory as a lecturer in 2025.
Education
  • Received a PhD degree from the University of Liverpool, supervised by Dr. Shan Luo and Prof. Danushka Bollegala.
Background
  • Lecturer at Bristol Robotics Laboratory, University of the West of England. Research mainly focuses on robotic perception, tactile sensing, and robot tactile intelligence with LLMs.
Miscellany
  • Teaching Robotic Control System, Engineering Experimentation, and Engineering Practice at the University of the West of England (2025/2026); was a Teaching Assistant for Computer Vision at the University of Liverpool (2019/2020); serves as a Young-Career Editor for Robot Learning and as a Reviewer for ICRA, IROS, RAL, T-ASE, TIP.