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A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics


Apr 08, 2021
Laura Petrich, Jun Jin, Masood Dehghan, Martin Jagersand

* Submitted to IROS 2021. arXiv admin note: substantial text overlap with arXiv:2101.02750 

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Learning robust driving policies without online exploration


Mar 15, 2021
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo

* Accepted in ICRA 2021. Due to format limitations of ICRA, we include appendix of our detailed evaluation results in this full version. arXiv admin note: substantial text overlap with arXiv:2006.15110 

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Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs?


Jan 07, 2021
Laura Petrich, Jun Jin, Masood Dehghan, Martin Jagersand

* Submitted to ICRA 2021 

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LISPR: An Options Framework for Policy Reuse with Reinforcement Learning


Dec 29, 2020
Daniel Graves, Jun Jin, Jun Luo


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Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning


Nov 11, 2020
Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jagersand

* submitted to ICRA 2021 

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Learning predictive representations in autonomous driving to improve deep reinforcement learning


Jun 26, 2020
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin


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A Geometric Perspective on Visual Imitation Learning


Mar 05, 2020
Jun Jin, Laura Petrich, Masood Dehghan, Martin Jagersand

* submitted to IROS 2020 

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Distributed estimation of principal support vector machines for sufficient dimension reduction


Nov 28, 2019
Jun Jin, Chao Ying, Zhou Yu


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Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans


Nov 08, 2019
Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jagersand


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Visual Geometric Skill Inference by Watching Human Demonstration


Nov 08, 2019
Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan, Martin Jagersand


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Long range teleoperation for fine manipulation tasks under time-delay network conditions


Mar 21, 2019
Jun Jin, Laura Petrich, Shida He, Masood Dehghan, Martin Jagersand

* --submitted to IROS 2019 with RA-L option 

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Evaluation of state representation methods in robot hand-eye coordination learning from demonstration


Mar 02, 2019
Jun Jin, Masood Dehghan, Laura Petrich, Steven Weikai Lu, Martin Jagersand

* submitted to IROS 2019 

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Online Object and Task Learning via Human Robot Interaction


Feb 27, 2019
Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jagersand

* 7 pages. ICRA19 

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


Feb 27, 2019
Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jagersand

* Accepted in ICRA 2019 

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