由不同类型的机器人（如飞行机器人和地面移动机器人）与人组成的人-跨域协同机器人系统，可以通过机器人能力的互补和人智能的引入进一步提升机器人对于动态环境的适应性和复杂任务的执行效率，是目前机器人领域的前沿研究热点和未来的发展趋势。但是不同类型机器人的感知和行为能力的明显差异以及人类智能的引入方式单一和效率低下为其协同应用带来了极大的挑战。本项目将重点针对“人-跨域协同机器人协同环境感知与认知”、“复杂环境中基于人机协同的智能决策”、“基于人机双向主动交互的智能行为学习”等基础科学问题，深入开展原创性的理论和实用性技术研究，初步构建基于跨域协同的共融机器人共性方法体系。同时研制实验系统，全面验证理论方法与技术的可行性与有效性。并以南极科考为典型使命，开展示范应用。本项目的研究成果将为共融机器人系统的基础理论体系提供全面的支撑，并为后续面向大范围科考的共融机器人系统提供装备研制技术。

Human cross-domain cooperative robots system (HCCRS) that are made up of human and different types of robots is abele to complete complex task in dynamic environment because of the robots’ complementarity abilities in the aspects of environmental perception and mobility besides the introduction of human intelligence. It is the research focus and development tendency of robotics. However, two problems have to be solved for developing the HCCRS. One is the significant difference in both the sensing data and the kinemics/dynamics. The other is the inefficiency and simplex human intelligence introduction way. Based on these problems, in the project, extensive theoretical researches are conducted on the topics of “Cooperative Environment information perception and cognition of HCCRS”, “intelligent decision of HCCRS in complex environment”, “autonomic learning of intelligent behavior based on bidirectional active interface”. Based on the research result the experiment will also be conducted for verifying the feasibility and validity of the proposed method. Furthermore, the result will supply the theory system and technology of the human-robot harmony especially for large-scale exploration.