Yufeng Yue | 岳裕丰

Dr. Yufeng Yue is a Professor at the School of Automation, Beijing Institute of Technology. He received the B.Eng. degree in automation from the Beijing Institute of Technology in 2014. He obtained the PhD degree in Robotics from Nanyang Technological University in Singapore in 2019, under the supervion of Prof. Danwei Wang. Thereafter, he conducted postdoctoral research at Nanyang Technological University in Singapore from 2018 to 2020, working with Prof. Danwei Wang. During his postdoc, he worked as a visiting assistant researcher at University of California, Los Angeles in 2019, collaborating with Prof. Andrea L. Bertozzi. In 2020, he joined the ININ laboratory of the School of Automation, Beijing Institute of Technology. He has authored a book in Springer, and published more than 60 journal/conference papers, including IEEE TNNLS/TMech/TII/TIE/TITS/RAL, and NeurIPS/ICCV/ICRA/IROS. He is the recipient of the 2020 IEEE ICARCV Best Paper Award and 2021/2023/2024 IEEE ICUS Best Paper Award. He is serving as Associate Editor for IEEE RAL, Associate Editor for ICRA/IROS.

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Our research goal is to enhance the autonomy and generalization of robotic systems in open environments. By leveraging cross-disciplinary knowledge such as deep learning, robotics, and control, our research interests lies on Embodied Robotics: Spatial-AI perception, Cognitive navigation, Cross-embodiment intelligence. We have developed a variety of robot systems that operate in structured/semi-structured/field environments.

We are looking for candidates who have strong self-motivation, intense interest in robotic systems, and desire to combine artificial intelligence with practical robotics systems. For prospective students: If you are interested in working with us as a Master/PhD student or intership student, please feel free to contact me.