主要规格及技术指标

1. 电机：直流电机，配备编码器，支持精确的速度和位置控制。
2. 负载能力：通常支持 5-10 kg 的负载
3. 电池：锂电池组，续航时间通常为 2-4 小时，支持快速充电。
4. 传感器：激光雷达（LIDAR）：用于环境感知和建图（如 SLAM）。
5. 扩展接口：提供 USB、HDMI、GPIO 等接口，支持外接设备（如传感器、显示器等）。
6. 操作系统：支持 ROS（Robot Operating System），通常为 ROS Melodic 或 ROS Noetic 版本。
7. 开发环境：支持 Ubuntu Linux，提供完整的 ROS 开发工具包。
8.. 通信与网络：Wi-Fi、蓝牙、以太网接口。
9. 性能参数
移动速度：通常为 0.5-1.5 m/s，可根据需求调整。
定位精度：激光雷达和编码器结合，定位精度可达厘米级。
建图能力：支持 2D 地图构建（如使用 Gmapping 或 Cartographer 算法）。


1. Motor: DC motor with encoder to support precise speed and position control.
2. Load capacity: Typically supports loads of 5-10 kg. 3.
3. Battery: Li-Ion battery packs, typically 2-4 hours of battery life, with fast charging.
4. Sensors: LIDAR: for environmental awareness and mapping (e.g. SLAM). 5.
5. Expansion Interface: Provide USB, HDMI, GPIO and other interfaces to support external devices (such as sensors, monitors, etc.). 6.
6. Operating System: Support ROS (Robot Operating System), usually ROS Melodic or ROS Noetic. 7.
7. Development environment: support Ubuntu Linux, provide complete ROS development toolkit.
8.. Communication and network: Wi-Fi, Bluetooth, Ethernet interface.
9. Performance Parameters
Moving speed: usually 0.5-1.5 m/s, can be adjusted according to requirements.
Positioning accuracy: LIDAR and encoder combination, positioning accuracy can reach centimeter level.
Map building capability: Support 2D map building (e.g. using Gmapping or Cartographer algorithm).

主要功能及特色

该机器人平台特点鲜明。基于 ROS 开发，借助强大开源社区，软硬件模块化设计利于扩展与二次开发，且仿真与实机结合。硬件配置强大，高精度传感器融合，差速底盘搭配编码器电机，锂电池续航佳且能快充。软件功能丰富，涵盖 SLAM、自主导航、视觉功能及多机协作。操作易用，图形化界面配合 C++ 与 Python 编程，接口丰富可外接设备，还提供教育科研支持。​

The robot platform has distinctive features. It is developed based on ROS, with the help of a strong open source community, and the modular design of hardware and software facilitates expansion and secondary development, as well as the combination of simulation and real machine. The hardware configuration is powerful, with high-precision sensor fusion, differential chassis with encoder motors, and good battery life and fast charging of Li-ion battery. The software is feature-rich, covering SLAM, autonomous navigation, vision functions and multi-machine collaboration. Easy to use, graphical interface with C++ and Python programming, rich interfaces for external devices, and educational research support.

主要附件及配置

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