Biography
Who am I
My name is Mingxi Jia, a Ph.D. student in Humans To Robots (H2R) Laboratory at Brown, advised by Prof. Stefanie Tellex. Before joining the H2R lab, I was fortunate to work with Prof. Robert Platt, Prof. Robin Walters at Northeastern University, Prof. Amy Zhang, Prof. Haipeng Guo at BNU-HKBU UIC, and Prof. Qing Guo at BUCT.
Interests
- Efficient robot learning
- Robotic manipulation
Education
Ph.D. in Computer Science, 2023-Now
Brown University, Providence, US
MS in Robotics, Computer Science, 2021-2023
Northeastern University, Boston, US
BSc in Mechanical Engineering, 2016-2020
Beijing University of Chemical Technology, Beijing, China
News
- 2023.09.22: Our paper, A General Theory of Correct, Incorrect, and Extrinsic Equivariance, is accepted by NeurIPS 2023.
- 2023.01.16: Our paper, SEIL: Simulation-augmented Equivariant Imitation Learning, is accepted by ICRA 2023!
- 2022.11.23: Our work, SEIL: Simulation-augmented Equivariant Imitation Learning, will be presenting in CoRL 2022 Workshop on Sim-to-Real Robot Learning!
- 2022.09.15: Our paper, On-Robot Learning With Equivariant Models, is accepted by CoRL 2022!
- 2022.07.15: Our paper, BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework, is accepted by ISRR 2022!
Publications
(2023).
SEIL: Simulation-augmented Equivariant Imitation Learning.
In ICRA 2023 (also presented CoRL 2022 Workshop on Sim-to-Real Robot Learning)..
(2022).
On-Robot Learning With Equivariant Models.
In CoRL 2022.
(2022).
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework.
In ISRR 2022.
(2022).
Equivariant Reinforcement Learning for Robotic Manipulation.
In RLDM 2022, ICRA 2022 Workshop on Scaling Robot Learning.
Projects
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Research & Life focus
Robotics
I work for robots. Robots help people.
Tennis
Nadal is the GOAT.
Podcast
I talk a lot sometimes.