Chen Yao (姚 辰)

Robotics Researcher, filed robotics engineer

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SUSTech,Shenzhen,China

Hey 👋, I’m currently pursing my Robotics Ph.D. (Sep.2020 - Jun.2024) from the Robotics Institute at Southern University of Science and Technology, Shenzhen, China, working with Zhenzhong Jia. My research focuses on Terrain-aware Contact and Mapping for Intelligent Robots, which explores perception, learning, sensor fusion, and autonomous traversal in more dynamic areas.

I finished my master’s degree (Sep.2017 - Dec.2019) in Robotics at Harbin Institute of Technology, Shenzhen, supervised by Prof. Wenfu Xu. Prior to that, I obtained a B.Eng (Sep.2013 - Jun.2017) from Harbin Institute of Technology, Harbin, also studying Robotics. During my Ph.D. I joined RCAMC as a visiting researcherand collaborate with Prof. Liang Ding(03.2023-09.2023) and Prof. Hongwei Guo(09.2023-02.2024) at HIT.

I am always happy to discuss and exchange research ideas in robotics. By the way, I’m looking for Postdoc position now, if you are interested in my research, plese feel free to contact me.


News

Apr 6, 2024 Our paper FootVision is resubmited by IEEE Robotics and Automation Letters.
Mar 25, 2024 Our TAILDataset paper is opensoure online. Dataset website and Code is avaliable.
Jan 26, 2024 Our :sparkles: FootSTAF paper was accepted by IEEE/ASME Transactions on Mechatronics.
Oct 12, 2023 Our :sparkles: WheelVision paper and :sparkles:AsideWheelVision paper were accepted by IEEE Robotics and Automation Letters.

Selected Publications

  1. arXiv 2024
    TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments
    Chen Yao#, Yangtao Ge#, Guowei Shi#, and 7 more authors
    arXiv preprint arXiv:2403.16875 2024
  2. TMech 2024
    STAF: Interaction-Based Design and Evaluation of Sensorized Terrain-Adaptive Foot for Legged Robot Traversing on Soft Slopes
    Chen Yao, Guowei Shi, Peng Xu, and 5 more authors
    IEEE/ASME Transactions on Mechatronics 2024
  3. RAL 2023
    Wheel vision: Wheel-terrain interaction measurement and analysis using a sensorized transparent wheel on deformable terrains
    Chen Yao, Feng Xue, Zhengyin Wang, and 4 more authors
    IEEE Robotics and Automation Letters 2023