Xiaolin Fang
方晓霖Ph.D. Student, MIT
Email: xiaolinf [at] mit [dot] edu
Location: MIT Stata Center 45-64x
About me
I am
a final-year
Ph.D. student at
MIT CSAIL,
LIS Group,
working with
Leslie Kaelbling and Tomás Lozano-Pérez. I interned at NVIDIA Seattle Robotics Lab led by Prof. Dieter Fox during summer 2022.
Previously, I obtained my bachelor's degree from Chu Kochen Honors College, Zhejiang University, where I worked with Prof. Xiaowei Zhou.
My research interest mainly falls on robot learning and planning. My long-term goal is to build machines with the capability of understanding the visual world, reasoning about the information needed to accomplish given tasks, and planning accordingly. Recently, I am interested in learning and exploiting abstractions that are useful for long-horizon manipulation tasks, including abstractions in the visual world and robot skills.
My research interest mainly falls on robot learning and planning. My long-term goal is to build machines with the capability of understanding the visual world, reasoning about the information needed to accomplish given tasks, and planning accordingly. Recently, I am interested in learning and exploiting abstractions that are useful for long-horizon manipulation tasks, including abstractions in the visual world and robot skills.
Selected Publications
[* indicates equal contribution]
![[Kalm]](images/09_kalm.png)
![[Uncos]](images/08_uncos_v2.png)
![[Dimsam]](images/07_dimsam_v2.png)
![[M0M]](images/06_m0m.png)
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
IEEE International Conference on Robotics and Automation, ICRA, 2022
[Paper]
[Video]
[Code]
![[Condcoopnet]](images/05_condcoop.png)
![[CycleCoopnet]](images/04_cyclecoop.png)
![[Triangle]](images/03_triangle.png)
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inferential Model
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2019
[Paper]
[Website]
[Code]