Jun Jin
GoogleScholar / CV

Jun Jin

I am an assistant professor in the ECE department at the University of Alberta and a Fellow of Alberta Machine Intelligence Institute (Amii). Generally, I am interested in Robotics and Machine Learning research. Specifically, I focus on topics in robotic reinforcement learning which intersects with embodied artificial intelligence, the theory of predictive coding, continual learning and open-ended learning agents. In applied research, I am starting projects in AI for construction (optimal and multi-modal construction planning agents, robotics for infrastructure maintenance) and healthcare robotics.

Email:
Office: 11-365 Donadeo ICE building, 9211-116 St, Edmonton, AB, T6G 2H5

News

Publications

Embodied-GPT: Vision-language pre-training via embodied chain of thought

Y. Mu, Q. Zhang, M. Hu, W. Wang, M. Ding, J. Jin, B. Wang, J. Dai, Y. Qiao, and P. Luo
Advances in neural information processing systems (NeurIPS), 2023, (**Spotlight Award**)
Webpage  •   Paper

Variable decision-frequency option critic

A. Karimi, J. Jin, J. Luo, A. R. Mahmood, M. Jagersand, and S. Tosatto
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Paper

Auxiliary task discovery through generate and test

B. Rafiee, S. Ghiassian, J. Jin, R. Sutton, J. Luo, and A. White
Second Conference on Lifelong Learning Agents (CoLLAs), 2023
Paper

Replay memory as an empirical mdp: Combining conservative estimation with experience replay

H. Zhang, C. Xiao, H. Wang, J. Jin, B. Xu, and M. Muller
International Conference on Learning Representations (ICLR), 2023
Paper

Offline learning of counterfactual predictions for real-world robotic reinforcement learning

J. Jin, D. Graves, C. Haigh, J. Luo, and M. Jagersand
2022 IEEE International Conference on Robotics and Automation (ICRA)
Oustanding Student Paper Award Finalist ** ICRA selects only 1 outstanding paper from 3 finalists among all submission tracks.
Paper

Generalizable task representation learning from human demonstration videos: a geometric approach

J. Jin and M. Jagersand
2022 IEEE International Conference on Robotics and Automation (ICRA)
Paper

A quantitative analysis of activities of daily living: Insights into improving functional independence with assistive robotics

L. Petrich, J. Jin, M. Dehghan, and M. Jagersand
2022 IEEE International Conference on Robotics and Automation (ICRA)
Paper

Build generally reusable agent-environment interaction models

J. Jin, H. Zhang, and J. Luo
Advances in neural information processing systems (NeurIPS) 2022 Workshop: Foundation Models for Decision Making
Paper  •   Slides  •   Poster

A simple decentralized cross-entropy method

Z. Zhang, J. Jin, M. Jagersand, J. Luo, and D. Schuurmans
Advances in neural information processing systems (NeurIPS), 2022
Paper  •   Code

What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy

B. Rafiee, J. Jin, J. Luo, and A. White
The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM, 2022
Paper

Learning robust driving policies without online exploration

D. Graves, N. M. Nguyen, K. Hassanzadeh, J. Jin, and J. Luo
2021 IEEE International Conference on Robotics and Automation (ICRA)
Paper

A generative model-based predictive display for robotic teleoperation

B. Xie, M. Han, J. Jin, M. Barczyk, and M. Jagersand
2021 IEEE International Conference on Robotics and Automation (ICRA)
Paper

Mapless navigation among dynamics with social-safety-awareness: a reinforcement learning approach from 2d laser scans

J. Jin, N. M. Nguyen, N. Sakib, D. Graves, H. Yao, and M. Jagersand
2020 IEEE international conference on robotics and automation (ICRA)
Paper

A geometric perspective on visual imitation learning

J. Jin, L. Petrich, M. Dehghan, and M. Jagersand
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Paper

Visual geometric skill inference by watching human demonstration

J. Jin, L. Petrich, Z. Zhang, M. Dehghan, and M. Jagersand
2020 IEEE International Conference on Robotics and Automation (ICRA)
Paper

Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach

J. Jin, L. Petrich, Z. Zhang, M. Dehghan, and M. Jagersand
2019 International Conference on Robotics and Automation (ICRA)
Paper



Online object and task learning via human robot interaction

M. Dehghan, Z. Zhang, M. Siam, J. Jin, L. Petrich, and M. Jagersand
2019 IEEE International Conference on Robotics and Automation (ICRA)
Paper

Real-Time Edge Template Tracking via Homography Estimation

X. Qin, S. He, Z. Zhang, M. Dehghan, J. Jin, and M. Jagersand
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Paper

Work with me

Thanks for your interest in working with me. I welcome students from all levels and international scholars to visit my lab. Please visit this page for more details.

© 2023 Jun Jin, under license CC BY 4.0 Creative Commons Licence