US-Germany Cooperative Research: Robot Localization and Robot Mapping Based on Shape Matching

该奖项支持PI和来自天普大学的一名学生与德国不来梅大学信息系的Christian Freksa合作。该项目的技术重点是为机器人定位和映射开发一种复杂的、认知驱动的几何表示和推理形式。在移动机器人领域，利用机器人内部空间表征确定自身位置的自定位问题和利用移动机器人获取物理环境空间模型的机器人映射问题具有重要意义。虽然目前的机器人测绘和定位技术非常复杂，但它们并没有产生预期的性能。这个德国小组在这个领域的工作非常有名，Freksa是路径、形状和配置推理中心的负责人，该中心由德国的国家科学基金会DFG资助。此外，此次合作还汇集了互补的专业知识和设备。这种合作的更广泛的影响是，它增加了美国研究人员与德国研究人员之间的互动，促进了美国学生的合作机会和职业发展，并通过为未来的国际研究和教育机会奠定基础，增强了研究和教育的基础设施。

0331786LateckiThis award supports the PI and a students from Temple University in a collaboration with Christian Freksa of the Department of Informatics at the University of Bremen, Germany. The technical focus of the project is to develop an elaborate and cognitively motivated geometric representation and reasoning formalism for robot localization and mapping. The problems of self-localization, which allows a robot to determine its position using its internal spatial representation, and robot mapping, which uses mobile robots to acquire spatial models of physical environments, are of high importance to the field of mobile robotics. Although current robot mapping and localization techniques are very sophisticated, they do not yield the desired performance. The German group is well known for its work in this field and the Freksa is head of center on Reasoning about Paths, Shapes, and Configurations funded by the German equivalent of NSF, the DFG. Furthermore, the collaboration brings together complementary expertise and equipment.The broader impacts of this collaboration are that it increases interactions between US researchers and those in Germany, it promotes collaborative opportunities and career development for US students, and it enhances the infrastructure for research and education by laying the groundwork for future international research and education opportunities.