Hi, I'm Jie Yin(殷杰), a self-motivated research engineer specializing in robotics🤖, received both my B.Eng. degree and M.Eng degree from Shanghai Jiao Tong University(上海交通大学). I am broadly interested in Robotics and Embodied AI, including Sensor Fusion, Reinforcement Learning, Manipulation, Locomotion and the intersection of them. Recently, I have been exploring dexterous manipulation with locomotion and whole-body control, and my goal is to achieve human-level physical intelligence in humanoid robots. Previously, I focus on resilient algorithoms/comprehensive benchmarks for multi-sensor fusion SLAM under corner cases. I'm open to collaboration!
My research has been published in top-tier venues such as ICRA, IROS, RAL, CVPR, TRO, and GPS Solutions. My highlighted research include:
- 06.2025 LIGO is successfully transfered to IROS'2025!
- 06.2025 🔥Ground-Fusion++/🔥M3DGR is accepted to IROS'2025! Codes, datasets and paper are coming soon!
- 01.2025 🏆M2DGR is awarded ESI HIGHLY CITED PAPER (TOP 1%)!
- 01.2025 LIGO is accepted to TRO'2025(JCR Q1)! [paper here]
- 06.2024 DAF is accepted to IROS'2024! [paper here]
- 03.2024 🔥Ground-Fusion is accepted to ICRA'2024! [paper here]
- 03.2024 EN-SLAM is accepted to CVPR'2024(Highlight)! [paper here]
- 03.2024 Innovation-KF is accepted to GPS Solutions'2024(JCR Q1)! [paper here]
- 08.2023 M2C-GVIO is accepted to Satellite Navigation'2023(JCR Q1)! [paper here]
- 08.2023 Sky-GVINS is accepted to Geo-spatial Information Science'2023(JCR Q1)! [paper here]
- 12.2021 🔥M2DGR is accepted to RA-L'2021(JCR Q1) and ICRA'2022! [paper here]
Furthermore, I'm highly interested in open-source projects related to RL and robotics, like:
In addition, I have curated high-quality resources on robotics for literature review, including:
These projects have collectively received over 3000 GitHub stars, reflecting their impact in the robotics and SLAM community. To give back to the academic community, I have also served as a reviewer for ICRA, IROS, RA-L, TASE, and TRO.
Currently, I'm a self-motivated research engineer in a robotics startup. Previously, I researched at MIT-IBM Watson Lab, HKU Mars Lab, Tencent Robotics X Lab, Shanghai AI Lab, SJTU Beidou NLS, Shanghai Beidou Research Institute and SJTU-VISYS. For more information, visit my personal website
I'm currently working on following topics. If you want to collaborate, welcom to mail me at robot_yinjie@outlook.com. 🤝🏻
- Dexterous Hand Manipulation
- Mobile Manipulation
- Reinforcement Learning
- SLAM for Corner Cases
- Language & Framework:
- Simulation Platform: Isaac Gym; Isaac Sim (OIGE); Isaac Lab; MuJoCo; Pybullet
- Sensors: LiDAR (Velodyne, Robosense, Livox, RP Lidar); Camera (Intel Realsense D435I&D455, PointGrey, Hikon, Indemind, Orbbec); IMU(Xsens series, Handsfree); GNSS(Ublox); Mocap System(Vicon)
- Robots: Wheeled Robot(WheelTec, Agile); Robotic Arm (Franka, Flexiv, Realman); Robotic Hand (Inspire, Shadow)
| Title | Description | Stars | Forks |
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| Cutting-edge Algorithms | ⚡Ground-Fusion Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024) |
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| Ground-Fusion++ Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework (IROS2025) |
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| DAF Disentangled Acoustic Fields For Multimodal Physical Scene Understanding (IROS2024) |
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| EN-SLAM Implicit Event-RGBD Neural SLAM(CVPR2024) |
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| LIGO LIGO: A Tightly Coupled LiDAR-Inertial-GNSS Odometry Based on a Hierarchy Fusion Framework for Global Localization With Real-Time Mapping(TRO2025) |
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| Sky-GVINS Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Navigation in Urban Canyons(Geo-spatial Information and Science2023) |
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| SLAM Benchmarks | ⚡M2DGR M2DGR： a Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (RA-L & ICRA2022) |
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| ⚡M3DGR Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework (IROS2025) |
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| ⚡M2DGR-plus M2DGR-plus: Extension and update of M2DGR, a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024) |
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| M2DGR-Benchmark A benchmark based on M2DGR and M2DGR-plus dataset with adapted SOTA SLAM algorithms |
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| Ground-Challenge Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots(ROBIO2023) |
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| SJTU_GVI A GNSS-Visual-IMU benchmark Dataset for SLAM. Test dataset for M2C-VIO. |
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| Awesome Lists | ⚡awesome-isaac-gym A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources |
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| awesome-LiDAR-Visual-SLAM A curated list of resources relevant to LiDAR-Visual-Fusion-SLAM |
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| Awesome-Grasp-List A curated list of awesome open-source grasping libraries and resources |
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| awesome-wheel-slam A curated list of resources relevant to wheel-based SLAM |
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| awesome-isaac-sim Collect some related resources of NVIDIA Isaac Sim |
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