U.S.-Germany Cooperative Research: Parallel Algorithms for Robot Planning in Manufacturing Applications

该奖项支持Maria L. Gini博士，联合pi Daniel Boley博士，以及明尼苏达大学双子城分校的一名研究生与卡尔斯鲁厄大学实时计算机系统和机器人研究所的Heinz W 'rn合作。这两个小组都在研究自主机器人的运动规划，使它们能够安全地在环境中移动。该合作将美国和德国的团队聚集在一起，通过开发快速和便携的并行搜索算法，通过并行算法提高机器人规划的效率和有效性。美国和德国的团队将贡献整个项目的互补方面，并将这些工作集成到验证、测试和比较中。这项研究不仅有助于设计能够实时适应环境的机器人，还有助于理解随机搜索和启发式之间的相互作用。

This award supports Dr. Maria L. Gini, the co-PI, Dr. Daniel Boley, and a graduate student from the University of Minnesota--Twin Cities in a collaboration with Heinz W`rn of the Institute for Real-Time Computer Systems and Robotics at the University of Karlsruhe. Both groups are working on motion planning for autonomous robots to allow them to move safely through their environment. The collaboration brings together U.S. and German groups to increase the efficiency and effectiveness of robot planning by means of parallel algorithms by developing fast and portable parallel-search algorithms. The U.S. and German groups will contribute complementary facets of the overall project and integrate those efforts for validation, testing, and comparison. Not only will the research help design robots that can make real-time adaptations to their environment, but will aid in the larger task of understanding the interplay between random search and heuristics.