Goal driven integrated intelligence for autonomous systems intelligence planifiée pour les systèmes autonomes

开发自主系统--无论是硬件（例如，机器人）或软件（例如，计算机辅助教育工具）-能够处理它们没有被明确编程的新情况，仍然是一项复杂和具有挑战性的任务。目前的大多数工具和方法充其量只是处于试验阶段。对意外事件作出反应，规划和监测完成任务的步骤，以及从经验中学习，所有这些都仍然是重大问题，这些问题可能会因系统在感知或对其环境采取行动方面的内在限制而进一步复杂化。该项目的一个目标是开发新的自动规划算法，复杂的机器人过程，超出了今天的规划系统的能力，并将这些算法与其他机器人决策过程。这将使机器人能够完成目前方法难以完成的任务，例如协助人们进行日常生活活动，进行手术或检查和维修空间站。另一个目标是开发新的规划算法的教程对话，是不可能与当前的方法，并将这些算法集成到模拟器，以支持机器人操作程序的学习和控制。这将提高机器人操作的安全性并降低培训成本（模拟比实际机器人设备便宜，并且没有受伤或设备损坏的风险）。这些模拟器可以安装在任何地方和任何时间，以提供“即时”培训，以支持操作员保持其技能水平所需的继续教育（例如在长期任务期间）。本项目主要针对机器人的应用领域，但研究成果在许多其他领域具有潜在的应用。

Developing autonomous systems--whether hardware (e.g., robots) or software (e.g., computer-aided education tools)--that can handle novel situations for which they have not been explicitly programmed remains a complex and challenging task. Most of the current tools and methodologies are, at best, in the experimental stage. Reacting to unanticipated events, planning and monitoring the steps to accomplish a task, and learning from experience all remain substantial problems that can be further complicated by the system's intrinsic limitations in perceiving or acting on its environment. One objective of this project is to develop new automated planning algorithms for complex robotics processes that are beyond the capability of today's planning systems and to integrate these algorithms with other robot decision-making processes. This will enable robots to accomplish tasks that are difficult with current approaches, such as assisting people in everyday life activities, performing surgery or inspecting and repairing space stations. Another objective is to develop new planning algorithms for tutorial dialogues that are impossible with current approaches and to integrate these algorithms into simulators to support the learning and control of robot manipulation procedures. This will increase the safety of robot manipulations and reduce training costs (simulations are less expensive than the actual robotics equipment and there is no risk of injury or equipment damage). These simulators can be installed anywhere and anytime to provide "just-in-time" training to support continuing education necessary for operators to maintain their skill levels (e.g. during long missions). This project primarily targets the application domain of robotics, but the research results have potential applications in many others.