Lyu Erli, Ph.D., is currently a lecturer at the Faculty of Applied Sciences, Macau Polytechnic University. Dr. Lyu obtained his Ph.D. in Mechanical Engineering from Harbin Institute of Technology (Shenzhen) in 2023. He has published more than ten academic papers in renowned international journals and conferences such as IEEE Transactions on Automation Science and Engineering and IROS. Dr. Lyu was awarded the second and the golden egg prize at the Jingdong X robotics challenge as the team leader, and was awarded the IEEE-ROBIO 2021 T.J. Tarn Best Robotics Paper Award as a co-first author.
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Current Employer/Organization
Macao Polytechnic University -
Current Position
LecturerMacao Polytechnic University
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Subjects Taught
論文 (DISSERTATION) 2023/2024
畢業報告 (FINAL YEAR PROJECT) 2023/2024
物聯網基礎 (INTERNET OF THINGS ESSENTIALS) 2023/2024
大數據概論 (INTRODUCTION TO BIG DATA) 2023/2024
論文 (THESIS) 2023/2024
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Education
哈爾濱工業大學(深圳)機械工程專業工學博士學位 (2023)
哈爾濱工業大學控制科學與工程學專業工學碩士學位 (2016)
東北大學秦皇島分校測控技術與儀器專業工學學士學位 (2014)
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Research Interests
- Neural motion planning;
- Point cloud autoencoder;
- Non-conservative autonomous driving;
- Densely-populated pedestrian navigation;
- Reinforcement learning (MCTS, etc.);
- Human-robot cooperation
- Other deep learning applications; -
Work Experience
2023.03 - Now, Lecturer in Macau Polytechnic University
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Additional Experience
- Served as associate editor for ICRA 2025.
- Served as reviewer for ICRA, IROS, ROBIO, ICIA, etc.
- Served as session chair for ROBIO, ICIA, etc.
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Publications
[1] Zhou T#, Lyu E#, Cen, G., Zha, Z., Qi, S., Wang, J., & Meng, M. Q. H. Towards high efficient long-horizon planning with expert-guided motion-encoding tree search[J]. IEEE Robotics and Automation Letters, 2024.
[2] Zhang Z, Lyu E*, Min Z, Zhang A, Yu Y, Meng MQ. Robust Semi-Supervised Point Cloud Registration via Latent GMM-Based Correspondence. Remote Sensing. 2023 Sep 12;15(18):4493.
[3] Lyu E, Liu T, Wang J, Song S, Meng MQ. Motion planning of manipulator by points-guided sampling network. IEEE Transactions on Automation Science and Engineering. 2022 Apr 29;20(2):821-31.
[4] Lyu E, Zhang Z, Liu W, Wang J, Song S, Meng MQ. MO-Transformer: A Transformer-Based Multi-Object Point Cloud Reconstruction Network. In2 022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 Oct 23 (pp. 1024-1030). IEEE.
[5] Lyu E, Yang X, Liu W, Wang J, Song S, Max QH. AN AUTONOMOUS EYE-IN-HAND ROBOTIC SYSTEM FOR PICKING OBJECTS IN A SUPERMARKET ENVIRONMENT WITH NON-HOLONOMIC CONSTRAINT. International Journal of Robotics and Automation. 2022 Jan 1;37(4).
[6] Liu T#, Lyu E#, Wang J, Meng MQ. Unified Intention Inference and Learning for Human–Robot Cooperative Assembly. IEEE Transactions on Automation Science and Engineering. 2021 May 17;19(3):2256-66.
[7] Zhou T#, Qi S#, Lyu E#, Cen G, Wang J, Meng MQ. Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2021 Dec 27 (pp. 334-339). IEEE.
[8] Lyu E, Zhang Z, Wang J, Song S, Meng MQ. Towards Components-of-Interest Feedback Control and State Estimation of Robotic Manipulator. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2021 Dec 27 (pp. 539-544). IEEE.
[9] Lyu E, Lin Y, Liu W, Meng MQ. Vision based autonomous gap-flying-through using the micro unmanned aerial vehicle. In2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) 2015 May 3 (pp. 744-749). IEEE.
Selected publications in reverse-chronological order
# represents co-first author, * represents corresponding author
Full publication list on Google Scholar: https://scholar.google.com.hk/citations?user=4biX3b8AAAAJ&hl=en&oi=ao and DBLP https://dblp.org/pid/164/3639.html
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Description
My research focuses on using environmental information to achieve high efficient motion planning. This process usually involves two main components: a point cloud autoencoder to extract environmental representation from the point cloud through unsupervised reconstruction, and a sampling network to predict a multi-density distribution for the next configuration state based on the extracted representation. It is closely related to point cloud autoencoder and nerual motion planning. I'm also interested in densely-populated pedestrian navigation and human-robot cooporation.
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Journal papers
Zhou T#, Lyu E#, Cen, G., Zha, Z., Qi, S., Wang, J., & Meng, M. Q. H. Towards high efficient long-horizon planning with expert-guided motion-encoding tree search[J]. IEEE Robotics and Automation Letters, 2024.
Zhang Z, Lyu E*, Min Z, Zhang A, Yu Y, Meng MQ. Robust Semi-Supervised Point Cloud Registration via Latent GMM-Based Correspondence. Remote Sensing. 2023 Sep 12;15(18):4493.
Lyu E, Liu T, Wang J, Song S, Meng MQ. Motion planning of manipulator by points-guided sampling network. IEEE Transactions on Automation Science and Engineering. 2022 Apr 29;20(2):821-31.
Lyu E, Yang X, Liu W, Wang J, Song S, Max QH. AN AUTONOMOUS EYE-IN-HAND ROBOTIC SYSTEM FOR PICKING OBJECTS IN A SUPERMARKET ENVIRONMENT WITH NON-HOLONOMIC CONSTRAINT. International Journal of Robotics and Automation. 2022 Jan 1;37(4).
Liu T#, Lyu E#, Wang J, Meng MQ. Unified Intention Inference and Learning for Human–Robot Cooperative Assembly. IEEE Transactions on Automation Science and Engineering. 2021 May 17;19(3):2256-66.
# indicates co-first author, * indicates corresponding author
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Conference Papers
Lyu E, Zhang Z, Liu W, Wang J, Song S, Meng MQ. MO-Transformer: A Transformer-Based Multi-Object Point Cloud Reconstruction Network. In2 022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 Oct 23 (pp. 1024-1030). IEEE.
Zhou T#, Qi S#, Lyu E#, Cen G, Wang J, Meng MQ. Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2021 Dec 27 (pp. 334-339). IEEE.
Lyu E, Zhang Z, Wang J, Song S, Meng MQ. Towards Components-of-Interest Feedback Control and State Estimation of Robotic Manipulator. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2021 Dec 27 (pp. 539-544). IEEE.
Lyu E, Lin Y, Liu W, Meng MQ. Vision based autonomous gap-flying-through using the micro unmanned aerial vehicle. In2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) 2015 May 3 (pp. 744-749). IEEE.
# reprindicates sents co-first author, * indicates corresponding author