Yinsen Jia | 贾寅森

M.S. Student, Department of Electrical Engineering
Member, Columbia Artificial Intelligence and Robotics (CAIR) Lab
Columbia University

M.S. EE Honors Student

I am actively looking for Ph.D. opportunities!
Please let me know if you are interested in my work!

I am a second-year master's student in Department of Electrical Engineering at Columbia University. I am interested in Robot Data-Driven Control in Dynamic Environments, Robotic Representation Learning, Multi-modality Learning, and Computer Vision. My research attempts to teach robots to better explore and understand the world by themselves so that in the future they will become not only smarter assistants but also trustworthy friends 🤖.

I received my Bachelor's degree of Electrical and Automation Engineering from Nanjing Normal University (2020), and I was a short-term student at Rice University (2021). Now I am studying in Columbia University and expecting to graduate on Feb 2023.

I was a research assistant in Robot Learning and Control Group of Nanjing University for Professor Chunlin Chen and the leader of UAV Communication Link Denoising Group in Jiangsu Electromagnetic Compatibility Engineering with Professor Wei Yan. I was also working in Kodiak Robotics as a deep learning intern in 2022 summer. I am now the member of Columbia Artificial Intelligence and Robotics Lab advised by Professor Shuran Song.

Highlights

Dynamic grasping with a meta-controller.

Engage your voice with a gamepad.

Citi-Bin: An intelligent garbage bin.

News

[2022-11] Our paper on Meta-Controller wins NeurIPs Registration Award from 2022 NeurIPs, 5th Robot Learning Workshop.
[2022-10] Our paper on Meta-Controller is accepted to 2022 NeurIPs, 5th Robot Learning Workshop.
[2022-05] I join Kodiak Robotics as a deep learning intern mentored by Dr. Collin Otis.
[2022-05] I am super glad to be honored as a M.S. EE Honors Student at Columbia University!
[2021-09] I start my master's study at Columbia University, majoring in Electrical Engineering - Data Driven Analysis and Computation.
[2021-01] I enter Rice University as a short-term student with Rice ECE Future Star Scholarship.
[2020-10] Our paper on 6DOF motion planning using reinforcement learning is accepted to IEEE ICNSC 2020.
[2020-06] I graduated from Nanjing Normal University and honored as a Outstanding Graduated Student (5%).
[2020-01] Our paper on UAV wireless communication noise suppression method is accepted to Radio Science.
[2019-12] I join Robot Learning and Control Group of Nanjing University as a research assistant!
[2019-07] Our paper on noises on UAV communication link is accepted to American Journal of Electrical and Electronic Engineering.
[2019-06] Our paper on conducted EMI noise source impedance extraction is accepted to IET Power Electronics.

[2018-12] I am super honored to receive the NARI Group Scholarship!

Publications

*: indicating equal contribution.

2023

Learning a Meta-controller for Dynamic Grasping

Yinsen Jia*, Jingxi Xu*, Dinesh Jayaraman, Shuran Song

Preprint on arXiv

[Paper] [Webpage]

2022

Learning a Meta-controller for Dynamic Grasping (Workshop Version)

Yinsen Jia*, Jingxi Xu*, Dinesh Jayaraman, Shuran Song

5th Robot Learning Workshop at Neural Information Processing Systems (NeurIPS) 2022

🏆 NeurIPs Registration Award

[Paper] [Webpage]

2020

Path Planning with Autonomous Obstacle Avoidance Using Reinforcement Learning for Six-axis Arms

Yinsen Jia, Yichen Li, Bo Xin, Chunlin Chen

IEEE International Conference on Networking, Sensing and Control (ICNSC) 2020

[Paper] [Github]

An UAV Wireless Communication Noise Suppression Method Based on OFDM Modulation and Demodulation

Yinsen Jia, Xinqi Tu, Wei Yan

Radio Science

[Paper] [Github]

2019

Investigation on conducted EMI noise source impedance extraction for electro magnetic compatibility based on SP-GA algorithm

Mengxia Zhou, Yang Zhao, Wei Yan, Yi Cao, Moeed Abdul, Yinsen Jia, Xi Wang

IET Power Electronics

[Paper]

Study on the Influence of Electromagnetic Pulse on UAV Communication Link

Yinsen Jia, Xinqi Tu, Wei Yan, Enrong Wang, Yang Zhao, and Shuqing Ding

American Journal of Electrical and Electronic Engineering

[Paper]