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😄 Hi, I'm Jie Yin, a senior engineer on embodied AI at a robotics startup. I graduated from Shanghai Jiao Tong University(上海交通大学) with a bachelor degree in 2021 and with a master degree in 2024. My current research interests include Robotic learning, Embodied AI and Multi-sensor Fusion.

⭐️ My work have been accepted to top conferences/transactions on robotics/navigation such as ICRA, IROS, RAL, CVPR, GPS Solutions and so on. My highlighted projects include 🔥M2DGR, 🔥Ground-Fusion, 🔥DAF, EN-SLAM,Ground-Challenge, Sky-GVINS and so on, from which I received over 1.6k github stars.

🚩 Previously, I used to research at MIT-IBM Watson Lab, HKU Mars Lab, Tencent Robotics X Lab, Shanghai AI Lab and Shanghai Beidou Research Institute. For more information, visit my personal website

💬 If you are interested in reinforcement learning or embodied AI, welcom to mail me at [email protected]

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Yin Jie's Projects

mobile-aloha icon mobile-aloha

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

monodepth2 icon monodepth2

[ICCV 2019] Monocular depth estimation from a single image

ndt_localizer icon ndt_localizer

This robot lcoalisation package for lidar-map based localisation using multi-sensor state estimation.

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

r-vio icon r-vio

Robocentric Visual-Inertial Odometry

robot_localization icon robot_localization

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

rtklibros icon rtklibros

rtklib with ros interfacing and adapted feedback from external Kalman filter

wifi_sensor icon wifi_sensor

ROS package to use the RSSI of a wifi card as a sensor

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