仓储机器人自主导航技术数据集

仓储机器人自主导航技术数据集主要面向柔性无人化仓对包裹移动搬运、快捷部署、灵活可变、鲁棒可靠等需求和挑战，针对现有的搬运机器人系统在长期运行中暴露出的低可靠性问题，主要记录了人工路标使用量减少比、动态环境栈板取放货成功率、动态环境货架取放货成功率等数据，数据量1M。

This dataset focuses on autonomous navigation technologies for warehouse robots. It is primarily developed to address the requirements and challenges of flexible unmanned warehouses, including package movement and handling, rapid deployment, flexibility, adaptability, robustness and reliability. Aiming at the low-reliability problems exposed by existing handling robot systems during long-term operation, this dataset records data such as the reduction ratio of artificial landmark usage, the success rate of pallet picking and placing in dynamic environments, and the success rate of shelf picking and placing in dynamic environments, with a total data volume of 1 MB.

搜集汇总

背景与挑战

背景概述

仓储机器人自主导航技术数据集主要记录人工路标使用量减少比、动态环境栈板取放货成功率等关键指标，用于解决柔性无人化仓的搬运机器人系统可靠性问题。数据集由浙江大学王越团队创建，数据量为1.13MB，包含4个文件。