Bowen Yang

CKSRI, ECE, HKUST

Hong Kong SAR, China

Hello, welcome to Bowen Yang’s page. Currently I’m a Ph.D. student at Department of Electronic and Computer Engineering (ECE), the Hong Kong University of Science and Technology (HKUST), supervised by Prof. George Jie Yuan. My research mainly focuses on the scene understanding and navigation problem of mobile robots in complex 3D environments. I’m also interested in SLAM, deep learning and 3D reconstruction.

I received my bachelor degree at Department of Electronic and Information Engineering (EIE), the Hong Kong Polytechnic University (PolyU). After that, I worked as an exchange researcher in Robotic Systems Lab (RSL), Federal Institute of Technology Zurich (ETH Zurich) for one year.

More details regarding my research works can be found on page Projects. Please feel free to contact me if you are interested in my projects. Collaborations in any forms are welcomed!

News

Apr 17, 2024	Our paper Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography is accepted by IEEE/ASME Transactions on Mechatronics (TMECH). Code available: PCT Planner
Jan 29, 2024	Our paper Rethinking Imitation-based Planner for Autonomous Driving is accepted by ICRA 2024.
Apr 29, 2023	Our UGV-Quadrupedal robot autonomous delivery project wins the Bronze Medal in 48th International Exhibition of Inventions Geneva.
Dec 01, 2022	Our paper Real-Time Neural Dense Elevation Mapping for Urban Terrain With Uncertainty Estimations is accepted by IEEE Robotics and Automation Letters (RA-L).
Jun 30, 2022	Our paper An Online Interactive Approach for Crowd Navigation of Quadrupedal Robots is accepted by IROS 2022.

Selected Publications

TMECH

Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography

Bowen Yang, Jie Cheng , Bohuan Xue , and 2 more authors

IEEE/ASME Transactions on Mechatronics, 2024

arXiv PDF Code Website
Preprint

Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments

Jianhao Jiao , Ruoyu Geng , Yuanhang Li , Ren Xin , Bowen Yang, and 4 more authors

Preprint, 2024
ICRA

Rethinking Imitation-based Planner for Autonomous Driving

Jie Cheng , Yingbing Chen , Xiaodong Mei , Bowen Yang, and 2 more authors

In 2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024

arXiv PDF Website

RAL

Real-Time Neural Dense Elevation Mapping for Urban Terrain With Uncertainty Estimations

Bowen Yang, Qingwen Zhang , Ruoyu Geng , and 2 more authors

IEEE Robotics and Automation Letters, 2023

arXiv Bib PDF Website

@article{9992063,
  url = {https://ieeexplore.ieee.org/document/9992063},
  author = {Yang, Bowen and Zhang, Qingwen and Geng, Ruoyu and Wang, Lujia and Liu, Ming},
  journal = {IEEE Robotics and Automation Letters},
  title = {Real-Time Neural Dense Elevation Mapping for Urban Terrain With Uncertainty Estimations},
  year = {2023},
  volume = {8},
  number = {2},
  pages = {696-703},
  keywords = {Robots;Uncertainty;Laser radar;Task analysis;Three-dimensional displays;Point cloud compression;Bayes methods;AI-enabled robotics;legged robots;mapping},
  doi = {10.1109/LRA.2022.3230325}
}

IROS

An Online Interactive Approach for Crowd Navigation of Quadrupedal Robots

Bowen Yang, Jianhao Jiao , Lujia Wang , and 1 more author

In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022

Bib PDF Website

@inproceedings{9981697,
  url = {https://ieeexplore.ieee.org/document/9981697},
  author = {Yang, Bowen and Jiao, Jianhao and Wang, Lujia and Liu, Ming},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title = {An Online Interactive Approach for Crowd Navigation of Quadrupedal Robots},
  year = {2022},
  volume = {},
  number = {},
  pages = {13556-13562},
  keywords = {Navigation;Mobile agents;Nash equilibrium;Real-time systems;Trajectory;Behavioral sciences;Quadrupedal robots},
  doi = {10.1109/IROS47612.2022.9981697}
}

ICRA

Real-time Optimal Navigation Planning Using Learned Motion Costs

Bowen Yang, Lorenz Wellhausen , Takahiro Miki , and 2 more authors

In 2021 IEEE International Conference on Robotics and Automation (ICRA) , 2021

Bib PDF Website

@inproceedings{9561861,
  url = {https://ieeexplore.ieee.org/document/9561861},
  author = {Yang, Bowen and Wellhausen, Lorenz and Miki, Takahiro and Liu, Ming and Hutter, Marco},
  booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
  title = {Real-time Optimal Navigation Planning Using Learned Motion Costs},
  year = {2021},
  volume = {},
  number = {},
  pages = {9283-9289},
  keywords = {Costs;Navigation;Computational modeling;Training data;Surfaces;Sampling methods;Real-time systems},
  doi = {10.1109/ICRA48506.2021.9561861}
}