I am a Ph.D. student in Electrical and Computer Engineering at Duke University and advised by Professor Boyuan Chen. 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 obtained the Master's degree in Electrical Engineering at Columbia University (2022) and the Bachelor's degree of Electrical and Automation Engineering from Nanjing Normal University (2020). I was also a short-term student at Rice University majoring in Electrical Engineering (2021).

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. During my Master' study, I was working with Professor Shuran Song in Columbia Artificial Intelligence and Robotics Lab, and interned as a deep learning researcher at Kodiak Robotics.

Highlights

Meta-control dynamic grasping.
Engage your voice with a gamepad.
Citi-Bin: An intelligent garbage bin.

News

  • [2023-08] Start my Phd journey at Duke!!
  • [2023-02] I am super honored to be granted the Master of Science Award of Excellence at Columbia University.
  • [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.

Publications

*: indicating equal contribution. You can also check my Google Scholar profile.

2023
2022
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
  • An UAV Wireless Communication Noise Suppression Method Based on OFDM Modulation and Demodulation
    Yinsen Jia, Xinqi Tu, Wei Yan
    Radio Science
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
  • 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

Projects

Adaptive grasp in dynamic environments.
Hyperbolic model for object detection.
Learning the Predictability of the Future.

Teaching

Teaching assistant at Nanjing Normal University for:

  • Microcomputer Principles and Interface Technology - Fall 2019

Talks

Lifestyle

I always enjoy my everyday life!
Duke Halloween.
2023.11, Duke University.
Last dance in Levien Gym :(.
2022.12, Columbia.
Columbia Boat Cruise Social.
2022.09, Columbia.
Shout out to Kobe.
2022.08, Los Angeles.