Recently, the 8th International Conference on Robotics and Automation Engineering (ICRAE 2023) was held in Singapore. (Zhejiang University - University of Illinois Urbana-Champaign Institute (ZJUI) saw notable success as Mr. Mai Haonan, a Master's student in Mechanical Engineering (Class of 2022), Mr. Chen Xianhao, a Master's student in AI and Digital Health (Class of 2022), and Mr. Chang Leixin, a Master's student in Mechanical Engineering (Class of 2023), under the guidance of ZJUI Assist Prof. Yang Liangjing, won the only Best Student Paper Award for their work titled "Dynamic 3D Reconstruction using Moving Depth Camera Mounted on Robotic Arm."

▲ Mai Haonan gave a paper presentation at the ICRAE2023 conference

The paper explores the application of 3D perception technology in medical scenarios, aiming to generate virtual fixtures guiding the motion of robotic arms. This innovation promises to enhance the safety of medical surgeries and improve the efficiency of human-machine interaction. The paper analyzes and compares various 3D reconstruction methods based on different data descriptions in the context of medical human-machine interaction, ultimately determining the most suitable data description method. This lays the foundation for further development of 3D reconstruction systems.

▲ 3D Reconstruction Deployment and System Setup

ICRAE 2023, co-hosted by the Singapore Systems Society and Tongji University, revolves closely around technical exchanges in robot design, development, and control. The conference serves as a broad and effective academic exchange platform for experts and scholars in the fields of robotics and automation engineering globally. It attracted participation from over a hundred experts and scholars in the field. The papers accepted and presented at the conference have been included in the IEEE Xplore database ICRAE 2023 conference proceedings and submitted for indexing in EI Core and Scopus.

The research group led by Assist Prof. Yang Liangjing has long been engaged in research in the fields of robotics and computer vision, with a focus on applications in the medical domain, such as medical image reconstruction and surgical navigation. Their contributions to the development of surgical robotic systems, minimally invasive surgical navigation technology, and microscope image-based micromanipulation have been internationally recognized by professional communities of the respective fields.