Speech Title: Status and Trends in Space Robotics Development 空间机器人技术发展现状及趋势

Gang Chen is currently a professor and doctoral supervisor at the School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications. He has been selected for the National Youth Talent Support Program and currently serves as the deputy director of the Key Laboratory of Space Robotics Technology of the Ministry of Education. He has been engaged in research on space robotics and space manipulation technologies for an extended period, and has played a pivotal role in the advancement of manipulators for significant undertakings such as the manipulators for the core module of China's space station and the lunar surface sampling manipulators for the Chang'e-5/6 probe. His research has focused on the advancement of pivotal technologies, including intelligent decision-making, task planning and compliant control for space manipulators. He has developed a number of engineering application software packages for use with space manipulators and ground experimental platforms. Moreover, he has made significant contributions to the advancement of robot technology in a number of fields, including emergency rescue, medical rehabilitation, and the petroleum and petrochemical industries. He has published over 100 academic papers and three academic monographs, and has been granted 50 national invention patents. He has received the first prize for Technology Invention in Heilongjiang Province, the first prize for Chinese Machinery Industry Science and Technology, and the second prize for Science and Technology Progress in Beijing.
陈钢，北京邮电大学智能工程与自动化学院教授，博士生导师，入选国家级青年人才支持计划，现任空间机器人技术教育部重点实验室副主任。 长期从事空间机器人及空间操控技术研究，深度参与了我国空间站核心舱机械臂、嫦娥五号/六号探测器月表采样机械臂等多项重大型号工程中机械臂的研制，重点突破了空间机械臂智能决策、任务规划与柔顺控制等系列关键技术，研制了多套空间机械臂工程应用软件以及地面实验平台。同时注重机器人技术在应急救援、医疗康复以及石油石化等行业拓展应用。 在国内外重要学术期刊及会议发表学术论文百余篇，授权国家发明专利授权50项，出版学术专著3部。获得黑龙江省技术发明一等奖1项，中国机械工业科学技术一等奖1项，北京市科学技术进步奖二等奖1项。

Speech Title: Autopilot Manipulation Technology for Extraterrestrial Roving and Detection 地外巡视探测自动驾驶操控技术

Professor Yan Xing is a researcher and doctoral supervisor at the Beijing Institute of Control Engineering (BICE). She has long been engaged in the research of autonomous intelligent perception, planning, navigation and maneuvering, and intelligent mobile robot technologies for deep space exploration, and her research results have been applied in China's Chang'e-3, Chang'e-4, Tianwen-1 and Chang'e-6 missions. She has won 1 first prize of Provincial and Ministerial Technical Invention Award, 1 second prize and 4 third prizes of Science and Technology Progress Award, 2 innovation team awards, 60 authorized invention patents, more than 80 papers, 2 co-authored monographs, and 4 industry standards.
邢琰，工学博士，北京控制工程研究所研究员，博士生导师。长期从事深空探测自主智能感知、规划、导航与操控、及智能移动机器人技术研究，研究成果已在中国嫦娥三号、嫦娥四号、天问一号和嫦娥六号任务中得到应用。先后获省部级技术发明奖一等奖1项、科技进步奖二等奖1项、三等奖4项，创新团队奖2项，已授权发明专利60项，发表论文80余篇，合著专著2部，发布行业标准4项。

Speech Title: On-Board Intelligent Processing of Remote Sensing Satellites Technology Development and Prospects 遥感卫星在轨智能处理技术发展与展望

Liang Chen, Beijing Institute of Technology, Researcher and PhD Supervisor, National-level Talent Awardee, Executive Deputy Director of the National Key Laboratory of Space-based Intelligent Information Processing. He has been long engaged in the research field of real-time processing of remote sensing information, leading or participating in the development of onboard processing systems for over 10 types of satellites in China. He has received two second prizes for National Technological Invention Awards (ranked 3rd and 6th), and three first prizes for provincial and ministerial-level scientific and technological achievements. He has published over 30 SCI journal papers and holds more than 60 authorized invention patents.

陈亮，北京理工大学，研究员、博士生导师，国家级人才获得者，天基智能信息处理全国重点实验室常务副主任。 长期从事遥感信息实时处理领域的研究，主持或参与研制了我国10余型卫星星上处理系统。获得国家技术发明奖二等奖2项（排名3、6）、省部级科技成果一等奖3项。发表SCI期刊论文30余篇，获授权发明专利60余项。

Speech Title: Variational Optimization for Quantum Problems using Deep Generative Networks 基于深度生成网络的量子问题变分优化

Zizhu Wang is currently a professor at the Institute of Fundamental and Frontier Sciences at the University of Electronic Science and Technology of China, and the Deputy Director of the Key Laboratory of Quantum Physics and Optical Quantum Information of the Ministry of Education. Zizhu Wang's main research areas focus on fundamental quantum theory and non-classical correlations in many-body quantum physics. He has achieved significant results in cutting-edge fields such as contextuality in quantum many-body systems, the generation and detection of entangled states, and the marginal problem of two-dimensional probability distributions. His research has been published in numerous high-impact international journals, including *Physical Review Letters* and *npj Quantum Information*. Additionally, he has collaborated with renowned quantum information experimental groups both domestically and internationally—such as those at the University of Science and Technology of China and the Southern University of Science and Technology—to complete several key experimental validations, advancing the development of quantum information technology. In terms of research projects, Zizhu Wang has led and participated in multiple national and interdisciplinary scientific research initiatives. These include the Ministry of Science and Technology's Key R&D Program projects "Optimized Detection of High-Dimensional Entanglement" and "Quantum Machine Learning and Quantum Simulation," as well as "Research on Simulation Algorithms for Quantum Many-Body Systems" in collaboration with Huawei Technologies Co., Ltd.

王子竹，现任电子科技大学基础与前沿研究院教授，量子物理与光量子信息教育部重点实验室副主任。 王子竹的研究方向主要为量子基础理论与多体量子物理中的非经典关联性。他在量子多体系统的互文性、纠缠态的生成和检测以及二维概率分布的边缘问题等前沿研究领域取得了重要成果。他的研究工作发表在多篇高影响力的国际顶级期刊上，包括《Physical Review Letters》和《npj Quantum Information》。此外，他还与中科大、南方科大等国内外知名量子信息实验小组合作，完成了多项关键实验验证，推动了量子信息技术的发展。 在科研项目方面，王子竹主持并参与了多个国家级和横向科研项目，包括科技部重点研发计划项目“高维纠缠的最优检测”和“量子机器学习与量子模拟课题”，以及与华为公司合作的“量子多体系统模拟算法研究”等。