RoSmEEry

RoSmEEry是由罗马大学计算机、控制与管理工程安东尼奥·鲁伯蒂系开发的创新框架，旨在通过Gazebo模拟器系统评估语义映射算法。该框架提供了一个可访问且即用型的方法，用于对语义映射算法进行系统评估。RoSmEEry框架包括多个模拟环境，旨在为获取环境语义知识的表现提供一个通用设置。此框架不仅评估地图的几何准确性，还评估语义地图中表示的知识量和质量。RoSmEEry的应用领域主要集中在机器人领域，旨在解决机器人如何通过语义地图理解和解释用户命令的问题。

RoSmEEry is an innovative framework developed by the Department of Computer, Control and Management Engineering "Antonio Ruberti" at Sapienza University of Rome, designed to systematically evaluate semantic mapping algorithms using the Gazebo simulator. This framework provides an accessible and ready-to-use methodology for the systematic evaluation of semantic mapping algorithms. RoSmEEry includes multiple simulated environments, which offer a universal benchmark setup for assessing the performance of systems that acquire semantic knowledge about their operating environment. This framework evaluates not only the geometric accuracy of the constructed maps, but also the quantity and quality of the knowledge encoded in the semantic maps. The primary application domain of RoSmEEry is the field of robotics, where it aims to solve the problem of how robots can understand and interpret user commands via semantic maps.