NRI-Small: Mixed Human-Robot Teams for Search and Rescue

该项目旨在提高应对大规模灾害和管理紧急情况的能力，方法是将机器人和智能体作为人类的队友纳入搜索和救援队。 该项目的重点是在完成救援人员和防止火灾的使命时，对灾害情况只有不完全了解的人类和机器人组成的大型团队。实现团队内部合作的方法将基于开发团队成员共享的心理模型。 共享的心智模型将通过提供适当的抽象级别来促进机器人和人类之间的交互，使它们能够在完成任务时共享信念、愿望和意图。团队合作模型的性能将通过比较各种任务性能指标来衡量（例如救人的时间）、系统级度量（例如计算时间或消息流量）以及心智模型的共享量。 实验工作将使用开源的RoboCup搜索和救援模拟器进行，更广泛的影响包括将研究成果融入本科课程，提供开源软件，开展外联活动，让K-12学生了解研究问题，并激发他们使用计算方法解决现实世界的问题。长期目标是改善紧急情况下的应急能力，这将有助于拯救生命和尽量减少财产损失。

The project aims at increasing the ability to respond to large-scale disasters and manage emergencies by including robots and agents as teammates of humans in search and rescue teams. The project focuses on large teams of humans and robots that have only incomplete knowledge of the disaster situation while they accomplish the mission to rescue people and prevent fires.The methodology to achieve cooperation within the teams will be based on the development of mental models shared by team members. The shared mental models will facilitate the interactions among robots and humans by providing a suitable level of abstraction enabling them to share beliefs, desires, and intentions as they work to accomplish their tasks.The performance of teamwork models will be measured by comparing various task performance metrics (such as time to save people), system level metrics (such as computation time or message traffic), and amount of sharedness of the mental models. The experimental work will be conducted using the open source RoboCup Search and Rescue Simulator.Broader impacts include integration of research results in undergraduate courses, availability of the software produced as open source, outreach activities to expose K-12 students to research issues and to excite them about using computing methods for real-world problems. The long term objective is to improve preparadeness for emergency situations, which will help saving lives and minimizing loss of properties.