I am a research engineer with broad interests in Robotics and Embodied AI. I graduated from Shanghai Jiao Tong University(上海交通大学, THE 43, QS 45, ARWU 46), advised by Prof. Danping Zou and Prof. Wenxian Yu in SJTU-VISYS Lab. Furthermore, I was a research intern at MIT-IBM Watson Lab under the supervision of Prof. Chuang Gan and participated in SRP2023(Summer Research Programme) at HKU MaRS Lab advised by Prof. Fu Zhang. Previously, I also spent wonderful time researching at Tencent Robotics X Lab, Shanghai AI Lab and Shanghai Beidou Research Institute, where I worked on a variety of projects related to robotics and intelligent systems.

My works have been accepted to top conferences/transactions on Robotics and AI such as CoRL, ICRA, IROS, RAL, CVPR, TRO, TAES and GPS Solutions and so on. My research has been supported by National Key R&D Program and NSFC. My highlighted projects include 🔥M2DGR, 🔥Ground-Fusion, 🔥DAF, 🔥Ground-Fusion++/M3DGR, LIGO, EN-SLAM,Ground-Challenge, Sky-GVINS and so on, as detailed below. Furthermore, I’m also an active open-source contributor, receiving over 3k stars from my Github.

News

⭐️ Selected Research

M2DGR

Ground-Fusion

DAF

M3DGR

🚩 Publication

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

WM-Craftnet: World Synesthesia Model for Generalizable and Robust Dexterous In-Hand Manipulation (CoRL Spotlight (Top 4.4%)) Representative Work Jie Yin, Zeyuan Zhao, Xiaojing Tan, Yang Liu, Chiyu Wang, Xinyang Gu CoRL 2026 [ Paper | Preprint | BibTex | Project page | Code ]

NIDAR: NIR-Guided Intrinsic Decomposition for Scalable Scene-Agnostic LiDAR Intensity Reconstruction Junjie Zhang, Jie Yin, Kefei Qian, Jie Li, Mengpei Jia*, Yajuan Dun, Wenbo Chu, Guofa Li IROS 2026 (Oral) [ | Project page ]

Ultra-Fusion: A Resilient Tightly-Coupled Multi-Sensor Fusion SLAM Framework under Sensor Degradation and Spatiotemporal Perturbation for Intelligent Transportation Systems Representative Work Yihong Tian, Junjie Zhang, Liuyang Li, Deteng Zhang, Yunfei Zuo, Jie Yin* arXiv preprint 2026 [ | Video | Preprint | BibTex | Project page | Code | Dataset ]

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 (Oral) [ Paper | Preprint | BibTex | Project page | Code | Dataset ]

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 & IROS 2025 (Oral Presentation) SRP at HKU MaRS Lab [ Paper | BibTex | Code ]

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 (Oral) Internship at MIT-IBM AI Lab [ Paper | Video | Preprint | BibTex | Project page | Code | Dataset ]

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 (Oral) [ Paper | Video | Preprint | BibTex | Talk video | Project page | Code | Dataset ]

Implicit Event-RGBD Neural SLAM (CVPR Highlight (Top 2.6%)) 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 ]

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 ]

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 ]

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 & ICRA 2022 (Oral Presentation) SJTU-Beidou Joint Training Program [ Paper | Preprint | BibTex | Talk video | Code ]

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 ]

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 ]

A GNSS-Visual-IMU benchmark Dataset for SLAM Jie Yin, Tong Hua Github 2022 [ | Code ]

Academic Service

Honors

Teaching

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