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

0331786 Latecki该奖项支持PI和坦普尔大学的学生与不莱梅大学信息学系的Christian Freksa合作，德国。 该项目的技术重点是为机器人定位和映射开发一个精心设计的和认知动机的几何表示和推理形式主义。 自定位和机器人地图绘制是移动的机器人领域的重要问题。自定位允许机器人使用其内部空间表示来确定其位置，机器人地图绘制使用移动的机器人来获取物理环境的空间模型。 虽然目前的机器人映射和定位技术是非常复杂的，他们不产生所需的性能。 这个德国小组以其在这一领域的工作而闻名，Freksa是由德国相当于NSF的DFG资助的关于路径、路径和路径推理中心的负责人。 此外，这种合作还带来了互补的专业知识和设备。这种合作的更广泛影响是，它增加了美国和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，加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.