Prof. Shaojie Shen and his research team Won the 2023 IEEE Robotics and Automation Letters Best Paper Award for their paper "H2-Mapping: Real-Time Dense Mapping Using Hierarchical Hybrid Representation"
Prof. Shaojie Shen and his research team Won the 2023 IEEE Robotics and Automation Letters Best Paper Award. Congratulations!
We are pleased to share the news that Professor Shaojie Shen and his research team have been awarded the 2023 IEEE Robotics and Automation Letters Best Paper Award. Their far-reaching work, titled "H2-Mapping: Real-Time Dense Mapping Using Hierarchical Hybrid Representation", authored by Chenxing Jiang, Hanwen Zhang, Peize Liu, Zehuan Yu, Professor Hui Cheng, Professor Boyu Zhou, and Professor Shaojie Shen, has been recognized for its groundbreaking contribution to the field of robotics. The first author, Chenxing Jiang, joined Professor Shen's research team in 2022 and is currently pursuing a PhD degree at the Hong Kong University of Science and Technology. The co-first author Hanwen Zhang is currently studying for an MPhil degree at Sun Yat-sen University.
The award-winning paper was published in the October 2023 issue of "IEEE Robotics and Automation Letters" (Volume 8, Issue 10, Pages 6787 - 6794) and is available for full-text access on IEEE Xplore. This paper presents a real-time dense mapping framework for robotics based on NeRF, named H2-Mapping. It employs hierarchical hybrid representation for scene modeling and coverage-maximizing strategy for keyframes selection, significantly enhancing mapping accuracy and real-time efficiency on edge devices. The award will be officially presented at the 2024 IEEE International Conference on Robotics and Automation (ICRA), taking place in Yokohama, Japan. Further details about the conference can be found on the official website at https://2024.ieee-icra.org/.
The team of Prof. Shen also won the 2023 IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award in the same year. Warmest congratulations to Prof. Shen's team on their contributions to the field of robotics, and we look forward to their future achievements.
