Jun Yang
Research Scientist
Epson Canada
Ph.D. in Aerospace Science and Robotics Institute
University of Toronto Institute for Aerospace Studies (UTIAS)
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About Me
I am a Research Scientist at Epson Canada working on robotics,
computer vision, and machine learning.
My research focuses on robot perception, 3D vision,
neural rendering, SLAM, multi-modal foundation models and robotic manipulation.
I received my Ph.D. from the University of Toronto Institute for Aerospace Studies (UTIAS),
where I was advised by Prof. Steven L. Waslander.
My long-term research goal is to develop intelligent robotic systems
that perceive, understand, and interact with complex real-world environments.
Research Interests
- Robot Perception
- 3D Computer Vision
- Neural Rendering (NeRF, 3D Gaussian Splatting)
- Pose Estimation
- Sensor Fusion
- Active Perception
- Robotic Manipulation
Selected Publications
Estimating Velocity of Spheres from Rolling-Shutter Image(s)
European Conference on Computer Vision (ECCV), 2026
Perception-Control Coupled Visual Servoing for Textureless Objects Using Keypoint-Based EKF
IEEE International Conference on Robotics and Automation (ICRA), 2026
Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames
The International Journal of Robotics Research (IJRR), 2025
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors
IEEE International Conference on Robotics and Automation (ICRA), 2024
Next-Best-View Selection for Robot Eye-in-Hand Calibration
Conference on Robots and Vision (CRV), 2023
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization
IEEE International Conference on Robotics and Automation (ICRA), 2023
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects
IEEE International Conference on Robotics and Automation (ICRA), 2022
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
IEEE Robotics and Automation Letters (RA-L), 2021
Academic Service
- Reviewer, IEEE International Conference on Robotics and Automation (ICRA)
- Reviewer, IEEE Robotics and Automation Letters (RA-L)
- Reviewer, IEEE Transactions on Automation Science and Engineering (TASE)
- Reviewer, CAAI Transactions on Intelligence Technology
- Reviewer, ISPRS Journal of Photogrammetry and Remote Sensing
- Reviewer, Pattern Recognition (PR)
- Reviewer, Neurocomputing
- Reviewer, Measurement
- Reviewer, Unmanned Systems (US)
- Department Editor, IEEE Multimedia Magazine
Students & Collaborators
I am always interested in collaborations on robotics,
computer vision, neural rendering, and embodied AI.
Feel free to reach out if you'd like to discuss research opportunities.