- 2024.08: Our paper, “IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies”, is accepted by CoRL!
- 2023.09.22: Our paper, A General Theory of Correct, Incorrect, and Extrinsic Equivariance, is accepted by NeurIPS 2023!
- 2022.11.23: Our work, SEIL: Simulation-augmented Equivariant Imitation Learning, will be presented 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!
About
👋 Hi, I’m Mingxi Jia. I am a Ph.D. student in Computer Science at Brown University, advised by Professor Stefanie Tellex. I’m interested in building general-purpose learning-based robot manipulation algorithms. Before Brown, I got my master’s degree in Robotics (Computer Science concentration) from Northeastern University, Boston, where I was fortunate to work with Professor Robert Platt. I received my Bachelor’s degree (in Mechanical Design, Manufacturing, and its Automation) at Beijing University of Chemical Technology (BUCT). Please feel free to send me an email via mingxi_jia@brown.edu if you have any questions!
📢 News
- 2025.06: Our paper, Learning Efficient and Robust Language-conditioned Manipulation using Textual-Visual Relevancy and Equivariant Language Mapping, is accepted by RAL!
- 2023.01.16: Our paper, SEIL: Simulation-augmented Equivariant Imitation Learning, is accepted by ICRA 2023!
Click to Expand
đź“ť Publications
RAL 2025
Learning Efficient and Robust Language-conditioned Manipulation using Textual-Visual Relevancy and Equivariant Language Mapping
Mingxi Jia\(^*\), Haojie Huang\(^*\), Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex
RAL 2025
CoRL 2024
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies
Haojie Huang, Karl Schmeckpeper*, Dian Wang*, Ondrej Biza*, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
CoRL 2024
NeurIPS 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters
NeurIPS 2023
ICRA 2023
SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia\(^*\), Dian Wang\(^*\), Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
ICRA 2023
CoRL 2022
On-Robot Learning With Equivariant Models
Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt
CoRL 2022
ISRR 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Dian Wang*, Colin Kohler*, Xupeng Zhu, Mingxi Jia, Robert Platt
ISRR 2022
đź“– Educations
- 2023.09 - now, Ph.D. in Computer Science, Brown University, Providence.
- 2021.09 - 2023.06, M.S. in Robotics (CS concentration), Northeastern University, Boston.
- 2016.09 - 2020.06, B.Eng. in Mechanical Design, Manufacturing, and its Automation, Beijing University of Chemical Technology (BUCT).