U.S.-Brazil Workshop on Intelligent Robotic Agents

人工智能和机器人社区长期以来的目标是开发能够智能行动的物理工件。从机器人方面来看，优先考虑的是开发能够展示导航、操纵、感知和行动技能以及协作能力的机械代理。低级控制的结果，包括传感器的不确定性，对几何和物理属性的有限推理，以及物体回避等技能，已经被证明是有趣和有用的，但大多数自主机器人代理仍然缺乏单独或协同执行高级智能操作的能力。这部分是因为他们需要合理的权宜之计，而已知的方法显然非常复杂，因此速度很慢。希望最近在人工智能规划、学习、推理和智能体之间合作方面的研究成果将有助于弥合高级推理和低级物理执行之间的差距。本次研讨会的目的是审查这一“桥梁”领域的现有成果和研究议程，同时建立在同一领域工作的美国和巴西研究人员之间以及NSF与其巴西同行组织CNPq之间的国际联系，后者将为巴西参与者提供支持。

It has been a long-standing goal of both the Artificial Intelligence and the Robotics communities to develop physical artifacts that can act intelligently . From the Robotics side, the priority has been on the development of mechanical agents that would exhibit navigation, manipulation, perception, and action skills, along with the ability to work cooperatively. The results on low-level control, including sensor uncertainty, limited reasoning about geometric and physical properties, and skills like object avoidance have proved interesting and useful, but most autonomous robotic agents still lack the ability to perform higher level intelligent operations either alone or in concert. This is partly because of their need to proceed with reasonable expedience, while the known methods are demonstrably very complex, and therefore slow. It is hoped that recent results in AI planning, learning, reasoning, and cooperation among agents will help in bridging the gap between high-level reasoning and low-level physical execution. The purpose of this workshop is to examine the available results and research agenda in this `bridging` area, while also establishing international links between American and Brazilian researchers working in the same areas and between NSF and its Brazilian counterpart organization CNPq, which will provide support for the Brazilian participants.