多机器人协同调度任务分配优化结果数据集

数据集名称：多机器人协同调度任务分配优化结果数据集（编号2020AAA0108903-007）数据集内容：对多机器人协同调度基于合同网的多机器人任务分配优化结果进行描述，采集方式主要通过仿真分析获得，所用设备为仿真计算设备。数据来源：通过仿真分析获得。采集时间及地点：数据采集时间为2023年，地点为山东大学威海校区知行北楼4楼。数据集中包含两个文件，分别为4-40.png和data.txt。其中，4-40.png为多机器人协同中各个机器人的任务分配顺序，data.txt为竞标过程中的log文件。4-40.png为多机器人任务分配结果图。其中，蓝、绿、红、橙四个圆点为机器人初始位置，对应颜色的线为各个机器人的任务规划顺序。图中的黑色数字为需要完成的任务点位。数据量约为89KB。Dataset Name: Dataset of Optimal Task Allocation Results for Multi-Robot Collaborative Scheduling (No. 2020AAA0108903-007) Dataset Content: This dataset describes the optimal task allocation results of multi-robot collaborative scheduling based on the Contract Net Protocol. The data was mainly obtained through simulation analysis using dedicated simulation computing equipment. Data Source: Acquired via simulation analysis. Collection Time and Location: The data was collected in 2023 on the 4th floor of Zhixing North Building, Shandong University Weihai Campus. The dataset contains two files: 4-40.png and data.txt. Specifically, 4-40.png is the task allocation sequence diagram for each robot in multi-robot collaboration and also serves as the result diagram of multi-robot task allocation; data.txt is the log file generated during the bidding process. In this diagram, four colored dots (blue, green, red and orange) represent the initial positions of the robots, the lines in the corresponding colors are the task planning sequences of each robot, and the black numbers in the diagram are the task points to be completed. The total data volume is approximately 89 KB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于多机器人协同调度任务分配的优化结果，通过仿真分析在2023年采集，包含任务分配顺序图和竞标日志文件，总数据量约为89KB。