**Abstract:** The 2024 International Conference on Robotics and Automation (ICRA), organized by the IEEE Robotics and Automation Society, took place from May 13 to 17 in Yokohama, Japan. This year's conference, one of the largest and most influential in the robotics field, saw the participation of over 6,000 attendees. Teams and individuals from the Department of Automation at Tsinghua University achieved significant success at the event. Under the guidance of Associate Professor Xiang Li, the XL-Team from Tsinghua University’s Institute of Industrial Intelligence and Systems won the In-Hand Dexterous Manipulation track of the Robotic Grasping and Manipulation Challenge (RGMC). The RGMC, now in its ninth year, introduced the In-Hand Dexterous Manipulation track for the first time this year. This track required teams to use multi-fingered dexterous hands to perform complex tasks such as in-hand object translation and rotation. Among the 31 teams from around the world that qualified for the final competition, XL-Team stood out with their innovative and robust technical approach, earning the championship and the distinction of being the only team to receive the "Most Elegant Solution" award across all tracks. The team members included Tsinghua University students Yongpeng Jiang, Mingrui Yu, Chen Chen, and Yongyi Jia. Notably, Yu Mingrui and Chen Chen's research was supported by the first National Natural Science Foundation Doctoral Student Youth Project and the first Beijing Natural Science Foundation Undergraduate Student Youth Project, respectively. Another team from Tsinghua University, the THUDA undergraduate team, also guided by Associate Professor Xiang Li, secured the third place in the Cluttered Object Grasping track of the RGMC. This track challenged teams to use a robotic arm to grasp and move 20 different types of objects in a cluttered environment. The THUDA team was unique in being the only fully undergraduate team in the competition, comprising third-year undergraduate students Shiheteng Wang, Weiduo Gong, Yingyue Li, and Junqi Ge, who were all enrolled in Li's course "Interdisciplinary Project Training - Robotic Intelligent Manipulation." In addition to the competition success, a paper by Tsinghua University's Automation Department, titled "Efficient Model Learning and Adaptive Tracking Control of Magnetic Micro-Robots for Non-Contact Manipulation," co-authored by Yongyi Jia and supervised by Xiang Li, was nominated for the Best Medical Robotics Paper Award. Out of 3,937 submitted papers, only 1,760 were accepted, and just six papers were shortlisted for this prestigious award. The paper introduces a method for using magnetic micro-robots to manipulate biological cells without direct contact, offering a highly flexible and non-invasive solution. This approach avoids potential cell damage, contamination, and adhesion issues associated with physical contact. The research employs data-driven methods to learn complex multiphysics coupling models and designs model-based trajectory tracking controllers and sampling-based path planners. This is the first time that non-contact precise control and large-range navigation have been simultaneously achieved with magnetic micro-robots, paving the way for the development of versatile dexterous manipulators at the microscale. The work was supported by the National Natural Science Foundation of China Joint Key Project and the Beijing National Research Center for Information Science and Technology. Furthermore, Mingrui Yu, a Ph.D. student from Tsinghua University’s Automation Department, was recognized as an Outstanding Reviewer by the IEEE Robotics and Automation Letters (RA-L). RA-L, the largest journal under the IEEE Robotics and Automation Society, selected ten outstanding reviewers this year, with Yu being the sole awardee from mainland China. This recognition underscores Yu's significant contributions to the peer review process, ensuring the quality and integrity of research in the field of robotics. These achievements highlight the Department of Automation at Tsinghua University's commitment to advancing robotics research and education, fostering innovation and excellence among its students and faculty. The department's success at ICRA 2024 reflects its leading role in the international robotics community and its dedication to addressing real-world challenges through cutting-edge technology and rigorous academic standards.