Shengxiang Sun
Scholar

Shengxiang Sun

Google Scholar ID: 4nVa1oIAAAAJ
University of Toronto
roboticscomputer visionmachine learning
Citations & Impact
All-time
Citations
17
 
H-index
3
 
i10-index
0
 
Publications
4
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Manual2Skill++: Connector-Aware General Robotic Assembly from Instruction Manuals via Vision–Language Models (co-first author, under submission)
  • SAFE: Scalable Failure Estimation for Vision-Language-Action Models, NeurIPS 2025
  • Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models, RSS 2025 (co-first author)
  • General In-Course Scholarship (2022–2025)
  • Dean’s List (2023–2025)
  • Summer NSERC Math & Computer Science Research Award (2024)
Research Experience
  • Collaborating with Prof. Weiyu Liu (University of Utah)
  • Collaborating with Prof. Florian Shkurti (University of Toronto)
  • Collaborating with Prof. Lin Shao (National University of Singapore)
  • Machine Learning Engineer Intern, Loblaw Digital, Toronto, ON, Canada (Jan 2024 – Apr 2024)
  • Machine Learning Research Intern, New H3C Technologies, Beijing, China (Jul 2023 – Aug 2023)
Background
  • Final-year Computer Science undergraduate at the University of Toronto
  • Research spans robotics and 3D computer vision, with a focus on generalizable robot manipulation
  • Interested in enabling robots to perform complex, long-horizon tasks from simple instructions (e.g., “prepare a dish from this cookbook”)
  • Approach leverages Foundation Models to learn from vast online human knowledge instead of costly manually collected data
  • Actively seeking Master’s or PhD positions in Robotics and Computer Vision for Fall 2026