Chen Yao

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 (SUSTech), 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

May 25, 2024	Our FootVision paper was accepted by IEEE Robotics and Automation Letters.
May 13, 2024	Our TAILDataset paper was accepted by IEEE Robotics and Automation Letters. Dataset website and Code are opensoure online and avaliable.
Jan 26, 2024	Our FootSTAF paper was accepted by IEEE/ASME Transactions on Mechatronics.
Oct 12, 2023	Our WheelVision paper and AsideWheelVision paper were accepted by IEEE Robotics and Automation Letters.

Selected Publications

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

Bib PDF Code Website Video

@article{2024tail,
  nav = {true},
  title = {TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments},
  author = {Yao#, Chen and Ge#, Yangtao and Shi#, Guowei and Wang#, Zirui and Yang, Ningbo and Zhu, Zheng and Wei, Hexiang and Zhao, Yuntian and Wu, Jing and Jia, Zhenzhong},
  journal = {arXiv preprint arXiv:2403.16875},
  year = {2024},
  video = {https://youtu.be/NvzEwUGCVLQ},
}

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

Bib PDF

@article{yao2024staf,
  interaciton_leg = {true},
  title = {STAF: Interaction-Based Design and Evaluation of Sensorized Terrain-Adaptive Foot for Legged Robot Traversing on Soft Slopes},
  author = {Yao, Chen and Shi, Guowei and Xu, Peng and Lyu, Shipeng and Qiang, Zhiyang and Zhu, Zheng and Ding, Liang and Jia, Zhenzhong},
  journal = {IEEE/ASME Transactions on Mechatronics},
  year = {2024},
  publisher = {IEEE},
}

RAL 2024

FootVision: A Vision-Based Multi-FunctionalSensorized Foot for Quadruped Robots

Guowei Shi#, Chen Yao#, Xin Liu, and 3 more authors

IEEE Robotics and Automation Letters 2024

Bib PDF Video

@article{shi2024footvision,
  interaciton_leg = {true},
  title = {FootVision: A Vision-Based Multi-FunctionalSensorized Foot for Quadruped Robots},
  author = {Shi\#, Guowei and Yao\#, Chen and Liu, Xin and Zhao, Yuntian and Zhu, Zheng and Jia, Zhenzhong},
  journal = {IEEE Robotics and Automation Letters},
  year = {2024},
  publisher = {IEEE},
  video = {https://youtu.be/7q6a2JkqM4o},
}

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

Bib PDF Video

@article{yao2023wheel,
  interaciton_wheel = {true},
  title = {Wheel vision: Wheel-terrain interaction measurement and analysis using a sensorized transparent wheel on deformable terrains},
  author = {Yao, Chen and Xue, Feng and Wang, Zhengyin and Yuan, Ye and Zhu, Zheng and Ding, Liang and Jia, Zhenzhong},
  journal = {IEEE Robotics and Automation Letters},
  year = {2023},
  publisher = {IEEE},
  video = {https://youtu.be/aYKW1Pp4ENw},
}