Special Session 11

 

Advances in AI-Driven Space Robotics | 具身智能赋能空间机器人技术


Introducation:

Space robotics technology is a pivotal driver of innovation for space agencies, research institutions, and aerospace companies worldwide. Advances in space robotics are reshaping every aspect of space exploration, from planetary missions to satellite maintenance and beyond. A key enabler, artificial intelligence (AI) integrated with robotics, forms the backbone of modern space systems. Recent developments in AI, including machine learning and autonomous control, have evolved traditional robotics into intelligent, adaptive systems capable of operating in harsh extraterrestrial environments. These technologies are transforming space endeavors, most notably in missions like NASA's Perseverance rover on Mars, where autonomous navigation enables real-time decision-making. Other applications span lunar resource extraction, orbital debris removal, deep space probes, and human-robot collaboration for future habitats, driving efficiency, safety, and cost-effectiveness in industries such as satellite operations, asteroid mining, defense-related space tech, and commercial space tourism.

This special session aims to bring together the latest developments in the theory and application of space robotics technology. The topics include, but are not limited to:

（1）Planetary exploration, lunar/Mars rovers, and deep space probes
（2）Autonomous navigation, path planning, and obstacle avoidance in microgravity
（3）Multi-robot systems, swarm intelligence, and collaborative missions
（4）Satellite servicing, orbital debris removal, and in-space assembly
（5）Human-robot interaction, teleoperation, and augmented reality interfaces
（6）Energy-efficient designs, fault-tolerant systems, and radiation-hardened hardware
（7）Resource utilization, mining, and construction for extraterrestrial bases
（8）Simulation, testing, and validation in simulated space environments

By fostering interdisciplinary discussions, this session will accelerate breakthroughs and real-world deployments in space robotics.

空间机器人在航天器在轨服务（维护、维修、组装、建造）和深空探测任务中具有重要应用，也将是未来月球基地建设的核心装备之一。近年来，人工智能（AI）与机器人的融合催生了具身智能技术，成为地面机器人科研和产业领域的热点。在航天领域，NASA的“毅力号”火星车搭载了AutoNav系统，具备了自主导航和“边走边规划”的能力。可以预见，具身智能技术将会极大的赋能空间机器人技术，让空间机器人更可靠、更灵活、更精细、更智能，推动空间探索和空间资源开发利用进入新阶段。

本专题论坛旨在汇聚具身智能空间机器人技术在理论、方法和应用方面的新思路、新方发和新成果。主题包括但不限于：
• 具身智能空间机器人技术在以下领域的进展
(1)   在轨作业的自主感知、决策与控制
(2)   多机器人协同作业
(3)   遥操作与人机交互
(4)   模拟太空环境下的仿真、测试和验证
(5)   机器人硬件的空间环境适应性设计
• 具身智能空间机器人在以下领域的应用：
(1)   月球、行星等地外天体探索
(2)   在轨组装、建造与维护、空间碎片主动清除
(3)   地外资源开采与利用、基础设施建设

通过促进跨学科交流，本论坛旨在搭建学术交流和思想碰撞的平台，推动具生智能技术在空间机器人领域的突破与实际应用。

 

Organizers:

Haichao Gui, Beihang University, China

Haichao Gui received his Bachelor's degree and Ph.D. from Beihang University in 2009 and 2014, respectively. He is currently a Professor and doctoral supervisor in the School of Astronautics, Beihang University. He served as a crew member and payload specialist aboard the Shenzhou-16 manned spaceflight mission. He has been honored with the title “Hero Astronaut”, the “Third-Class Space Merit Medal”, the 18th China Youth Science and Technology Award, the 16th Aerospace Laureate Awards, and selected as National Young Talent. His current research focuses on spacecraft dynamics and control, and space robotics technology.

 
Xiang Zhang, Defense Innovation Institute of Academy of Military Sciences, China

Xiang Zhang received B.S. and Ph.D degrees from National University of Defense Technology (NUDT), Changsha, China, in 2009 and 2015. Currently, he is an Associate Professor in the Defense Innovation Institute of Academy of Military Sciences, and selected as National Young Talent. His current research focuses on design, dynamics and control of intelligent and dexterous robot. His current research interests include intelligent control and manipulation of space robots, design and control of soft robots.

 

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/my/conference?conf=meae2025
Please choose Special Session: Advances in AI-Driven Space Robotics

 

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