Yijiong Lin
Scholar

Yijiong Lin

Google Scholar ID: SQl1XCUAAAAJ
University of Bristol
Robotic ManipulationPhysics SimulationSim-to-real RL Policy
Citations & Impact
All-time
Citations
420
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
12
list available
Contact
Resume (English only)
Academic Achievements
  • Papers published: 'Coarse-to-Fine Robotic Pushing Using Touch, Vision and Proprioception' accepted by IEEE Robotics and Automation Letters; 'Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces' accepted by 12th International Conference on 3D Vision (3DV) 2025; 'Anyrotate: Gravity-invariant in-hand object rotation with sim-to-real touch' accepted by Conference on Robot Learning (CoRL) 2024; 'Touchsdf: A deepsdf approach for 3d shape reconstruction using vision-based tactile sensing' accepted by IEEE Robotics and Automation Letters; Awards: Bi-Touch received Best Workshop Poster at NeurIPS 1st Touch Processing Workshop; Tactile Saliency nominated as Best Workshop Poster at 5th UK Robot Manipulation Workshop.
Research Experience
  • Currently a Postdoctoral Research Associate at the Bristol Robotics Laboratory, working on the ARIA-funded project 'Democratising Co-Design of Hardware and Control for Robot Dexterity', led by Prof. Nathan Lepora and Prof. Edward Johns (Imperial College London).
Education
  • Ph.D. in Engineering Mathematics from the University of Bristol, UK, 2025, supervised by Prof. Nathan Lepora, Dr. Efi Psomopoulou, and Dr. Dandan Zhang; M.Sc. in Mechanical Engineering and Automation from Guangdong University of Technology, 2020, supervised by Prof. Yisheng Guan and Dr. Juan Rojas.
Background
  • Research Interests: Multimodal sensing, sim-to-real deep reinforcement learning methods for dexterous robotic manipulation. Professional Field: Robotics.
Miscellany
  • In free time, enjoys playing badminton, swimming, or exploring urban and natural views with a camera. Also a cat person.