A Paper by Postgraduate Wu Yanmin from NEU’s Faculty of Robot Science and Engineering Collected by IEEE T-RO
Recently, a regular paper with Wu Yanmin, a postgraduate of 2021 from the Faculty of Robot Science and Engineering of NEU, as the first author, Professor Zhang Yunzhou as the corresponding author, and the Faculty of Robot Science and Engineering as the first unit has been officially collected by IEEE Transactions on Robotics (T-RO), a top international journal in the field of robotics. The paper will be published soon.
Titled An Object SLAM Framework for Association, Mapping, and High-Level Tasks, this paper puts forward a complete object-level SLAM (Simultaneous Localization and Mapping) framework. It first proposes the key technologies for data association, object parameterization and semantic map creation, and then explores the application in a number of downstream tasks based on the created object map, including robot arm active exploration and object grasping, augmented reality, scene map matching and semantic relocation. This study provides new ideas and solutions for the theoretical construction of object-level SLAM and the application of SLAM in real environments.
Link: IEEE Transactions on Robotics is recognized as one of the three top journals (Science Robotics/T-RO/IJRR) in the field of robotics. The academic achievements published in IEEE Transactions on Robotics usually represent the most advanced major progress in the field of robotics. The papers published in it are required to promote the progress of robotics in both theory and engineering implementation and to be of great significance to the academic research and industrial application in the field of robotics. This is the first IEEE T-RO paper whose first author is from NEU, which has achieved the breakthrough of zero IEEE T-RO paper from NEU.
In addition, the Faculty of Robot Science and Engineering has recently published a number of academic papers on the positioning, vision and control of intelligent robot systems in top-level international journals and at top-level conferences, such as IEEE TMM, TIM, TCSVT, TNNLS, TII, TIE, IEEE ICRA, and IROS. All these show the outstanding achievements NEU has made in innovative basic research in the international intelligent robot field.