Mingxi Jia

Mingxi Jia

Master’s student in Robotics

Helping hands lab, Northeastern University

Biography

Who am I

My name is Mingxi Jia, a M.S. in Robotics student at Northeastern University, Boston. I am now a research assistant in the Helping Hands Lab at Northeastern University, advised by Prof. Robert Platt. Before Northeastern, I received my Bachelor of Engineering (in Mechanical Engineering) degree at Beijing University of Chemical Technology. I am currently looking for a Ph.D. position in robotics. Please feel free to contact me via my email (jia dot ming at northeastern dot edu)!

Interests
  • Robotics
  • Computer vision
  • Deep learning
Education
  • 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

  • 2023.01.16: 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)..

PDF Cite Project Video Code coming soon!

(2022). On-Robot Learning With Equivariant Models. In CoRL 2022.

PDF Cite Video Website Open Review

(2022). BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework. In ISRR 2022.

PDF Cite Code

(2022). Equivariant Reinforcement Learning for Robotic Manipulation. In RLDM 2022, ICRA 2022 Workshop on Scaling Robot Learning.

PDF Cite

Research & Life focus

🤖
Robotics

I work for robots. Robots help people.

🎾
Tennis

Nadal is the GOAT.

🎙️
Podcast

I talk a lot sometimes.