户外割草机器人使用面积、精度数据集

研究面向多场景多类型 MaNSoC 专用芯片机器人环境建模与定位导航的分级评价技术，基于机器人移动性能、导航性能、能耗利用率测试结果，建立适用园区巡逻机器人、园区割草机器人环境建模与定位导航的分级评价体系，以环境适应性需求为导向，制定机器人性能高、中、低评价规范，实现机器人整机性能评价标准化与规范化。针对课题提出的各项指标：巡逻机器人动/静态的精度测试、使用面积测试以及割草机器人的动/静态的精度测试、使用面积测试的各项测试数据

This study focuses on the hierarchical evaluation technology for environment modeling, positioning and navigation of multi-scenario and multi-type MaNSoC dedicated chip robots. Based on the test results of robot mobility, navigation performance and energy consumption utilization rate, a hierarchical evaluation system for environment modeling, positioning and navigation of campus patrol robots and campus lawn-mowing robots is established. Guided by environmental adaptability requirements, high, medium and low performance evaluation specifications for robots are formulated to realize the standardization and normalization of robot overall performance evaluation. This dataset covers various test data corresponding to the indicators proposed in the research project, including dynamic/static accuracy test and usable area test data for patrol robots, as well as dynamic/static accuracy test and usable area test data for lawn-mowing robots.

搜集汇总

背景与挑战

背景概述

该数据集包含户外割草机器人在动/静态条件下的精度测试和使用面积测试数据，旨在建立机器人环境建模与定位导航的分级评价体系，数据量为106.75MB，包含40个文件。