I am a research engineer working at the intersection of Robotics and Embodied AI. I graduated from Shanghai Jiao Tong University (上海交通大学, THE 43, QS 45, ARWU 46), where I was advised by Prof. Danping Zou and Prof. Wenxian Yu at SJTU-VISYS Lab.

I have also been fortunate to work with Prof. Chuang Gan as a research intern at the MIT-IBM Watson AI Lab, and with Prof. Fu Zhang during SRP2023 at HKU MaRS Lab. Previously, I spent productive and memorable time at Tencent Robotics X Lab, Shanghai AI Lab, and Shanghai Beidou Research Institute, working on robotics and intelligent systems.

My work has appeared in leading robotics and AI venues, including ICRA, IROS, RA-L, CVPR, TRO, TAES, and GPS Solutions. My research has been supported by the National Key R&D Program and the NSFC. Representative projects include M2DGR, Ground-Fusion, DAF, Ground-Fusion++ / M3DGR, LIGO, EN-SLAM, Ground-Challenge, and Sky-GVINS. I am also an active open-source contributor, with 3k+ GitHub stars across my projects.

Reinforcement Learning Dexterous Manipulation Whole-Body Control Multi-modal Navigation

News

  • 02.2026 In-P3VIO is accepted to TAES2026!
  • 06.2025 LIGO is successfully transfered to IROS2025!
  • 06.2025 Ground-Fusion++/M3DGR isaccepted to IROS2025!
  • 01.2025 M2DGR is awarded ESI Highly Cited Paper(Top 1%)!
  • 01.2025 LIGO is accepted to TRO2025!
  • 06.2024 DAF is accepted to IROS2024!
  • 03.2024 Ground-Fusion is accepted to ICRA2024!
  • 03.2024 EN-SLAM is accepted to CVPR2024!
  • 03.2024 A paper is accepted to GPS Solutions!
  • 08.2023 M2C-GVIO is accepted to Satellite Navigation!
  • 06.2023 I won the HKU Summer Research Programme Scholarship!
  • 12.2021 M2DGR is accepted to RAL and ICRA2022!

Selected Research

Publication

Currently, I focus on reinforcement learning, dexterous manipulation, and whole-body control. My long-term goal is to build practical intelligent robots that can operate safely and reliably in human environments, assisting people with everyday physical tasks. Previously, I worked on multi-sensor fusion SLAM algorithms and benchmarks under corner cases and multimodal navigation. Representative works are highlighted.

In-P3 VIO: Tightly-Coupled PPP-Visual-Inertial Odometry Based on Invariant Filter Approach

Tao Li, Tong Hua, Jie Yin, Xusheng Yang, Wen-An Zhang, Ling Pei, Wenxian Yu, Trieu-Kien Truong.

IEEE Transactions on Aerospace and Electronic Systems 2026
[ Paper | BibTex ]

Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework

Deteng Zhang, Junjie Zhang, Yan Sun, Hao Yin, Tao Li, Hongzhao Xie, Jie Yin*

IROS 2025
[ Paper | Preprint | BibTex | Project page | Code | Dataset ] GitHub Stars for sjtuyinjie/Ground-Fusion2 GitHub Stars for sjtuyinjie/DAF

LIGO: A Tightly Coupled LiDAR-Inertial-GNSS Odometry Based on a Hierarchy Fusion Framework for Global Localization With Real-Time Mapping

Dongjiao He, Haotian Li, Jie Yin

TRO 2025 (SRP at HKU MaRS Lab)
[ Paper | BibTex | Code ] GitHub Stars for Joanna-HE/LIGO.

Disentangled Acoustic Fields For Multimodal Physical Scene Understanding Representative Work

Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K Marks, Jonathan Le Roux, Chuang Gan

IROS 2024 (Internship at MIT-IBM AI Lab)
[ Paper | Video | Preprint | BibTex | Project page | Code | Dataset ] GitHub Stars for sjtuyinjie/DAF GitHub Stars for chuangg/find_fallen_objects

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases Representative Work

Jie Yin, Lan Li, Wei Xi, Wenxian Yu, Danping Zou

ICRA 2024
[ Paper | Video | Preprint | BibTex | Talk video | Project page | Code | Dataset ] GitHub Stars for SJTU-ViSYS/Ground-Fusion GitHub Stars for SJTU-ViSYS/M2DGR-plus

Implicit Event-RGBD Neural SLAM (CVPR Highlight)

Delin Qu, Chi Yan, Dong Wang, Jie Yin, Dan Xu, Bin Zhao, Xuelong Li

CVPR 2024 (Internship at Shanghai AI Lab)
[ Paper | Preprint | BibTex | Project page | Code | Dataset ] GitHub Stars for DelinQu/EN-SLAM Hugging Face Dataset

Innovation-based Kalman filter fault detection and exclusion method against all-source faults for tightly coupled GNSS/INS/Vision integration

Haitao Jiang, Dayu Yan, Jiale Wang, Jie Yin

GPS Solutions (JCR Q1) 2024
[ Paper | BibTex ]

Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons

Jie Yin, Tao Li, Hao Yin, Wenxian Yu, Danping Zou

Geo-spatial Information Science (JCR Q1) 2023
[ Paper | Preprint | BibTex | Project page ] GitHub Stars for SJTU-ViSYS/Sky-GVINS

M2C-GVIO: motion manifold constraint aided GNSS-visual-inertial odometry for ground vehicles

Tong Hua, Ling Pei, Tao Li, Jie Yin, Guoqing Liu, Wenxian Yu

Satellite Navigation (JCR Q1) 2023
[ Paper | BibTex ]

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots

Jie Yin, Hao Yin, Conghui Liang, and Zhengyou Zhang

ROBIO 2023
[ Paper | Preprint | BibTex | Code ] GitHub Stars for sjtuyinjie/Ground-Challenge

M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots(ESI Highly Cited Paper, Top 1%) Representative Work

Jie Yin, Au Li, Tao Li, Wenxian Yu, Danping Zou

RA-L 2021 (SJTU-Beidou Joint Training Program)
[ Paper | Preprint | BibTex | Talk video | Code ] GitHub Stars for SJTU-ViSYS/M2DGR

Projects

Design, Sensing and Control of Service Robotic System for Intelligent Navigation and Operation in Internet Data Centers (Reddot Design Award2022)

Jie Yin, Conghui Liang, Xiong Li, Qiwei Xu, Haitao Wang, Tingxiang Fan, Zida Wu, Zhengyou Zhang

IEEE CASE 2022 (Internship at Tencent Robotics X Lab)
[ Paper | Video | BibTex ]

A GNSS-Visual-IMU benchmark Dataset for SLAM

Jie Yin, Tong Hua

Github 2022
[ | Code ] GitHub Stars for sjtuyinjie/SJTU_GVI

Academic Service

  • Conference reviewer for ICRA(2023, 2024, 2025) and IROS (2023, 2024, 2025, 2026) .
  • Transaction reviewer for IEEE RA-L(2022, 2023, 2024, 2025, 2026),IEEE TRO(2024) and IEEE TASE(2024,2026).

Honors

  • HKU Summer Research Programme (SRP) Scholarship 2023
  • Academic Scholarship (2018, 2020, 2022, 2023) in SJTU
  • Outstanding Graduate of SJTU 2021
  • Third Prize in National English Competition for College Students(NECCS) 2018

Teaching

  • Teaching assistant for Undergraduate course - Visual Localization & Perception (EE382) in SJTU.
  • Course tutor on SLAM in CVLIFE.

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