CAREER: Adaptive Human Multi-Robot Systems

该项目开发自适应人类多机器人系统，可以灵活地响应情况和任务需求的变化。它开发了实时监控和分析操作员认知和情绪状态的方法，使人类操作员能够适应机器人系统的变化，机器人能够适应人类的认知和情绪状态。通过开发自适应系统来提高人类-机器人团队的性能，该项目推进了我们对人类多机器人交互的理解。 这些新技术将改善部署在环境监测、核清理、灾难响应和防御等领域的人类多机器人团队的功能。该项目通过让K-12学生、本科生和研究生女性、少数民族和代表性不足的群体参与人机交互和多机器人系统，推进STEM教育和劳动力发展。该项目开发了新颖的概念和工具，用于1）设计特定任务的人类多机器人团队; 2）根据生理和行为信号估计操作员的认知和情绪状态;以及3）实现自主性、任务和资源分配的自适应控制。这种方法将增强多机器人系统和人机交互领域，提高人机团队的性能和多功能性。该项目将增加我们对多个机器人如何更有效地与多个人类交互的理解，反之亦然，并提高人类多机器人系统的规模和能力。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project develops adaptive human multi-robot systems that can flexibly respond to changes in situation and task needs. It develops methods for real-time monitoring and analysis of the cognitive and emotional state of operators, enabling human operators to adapt to robot system changes and robots to adapt to human cognitive and emotional states. By developing adaptive systems to improve the performance of human-robot teams, the project advances our understanding of human multi-robot interactions. The new technologies provided will improve function of human multi-robot teams deployed (for example) in environmental monitoring, nuclear cleanup, disaster response, and defense. The project advances STEM education and workforce development by involving K-12 students, undergraduate and graduate women, minorities, and underrepresented groups in human-robot interaction and multi-robot systems.The project develops novel concepts and tools for 1) designing mission-specific human multi-robot teams; 2) estimating operator cognitive and emotional state from physiological and behavioral signals; and 3) enabling adaptive control of autonomy, tasks, and resource assignment. This approach will enhance the fields of multi-robot systems and human-robot interactions and improve performance and versatility of human-robot teams. The project will increase our understanding of how multiple robots can more effectively interact with multiple humans and vice versa, and advance the scale and capability of human multi-robot systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.