仪器分类
Wheeltech Ackerman robot_轮趣阿克曼机器人小车
Wheeltech Ackerman robot_轮趣阿克曼机器人小车
仪器编号
2023102401188
SN序列号
无SN
生产厂家
轮趣科技
型号
R550A
制造国家
中国 China
分类号
放置地点
TC-A4013
购置日期
2023-11-01
入网日期
2025-03-10

主要规格及技术指标

1.底盘类型:差速驱动底盘
2.电机:高性能直流电机,配备编码器
3.负载能力:支持 5-10 kg 的负载
4.电池:锂电池组,续航时间通常为 2-4 小时,支持快速充电。
5.传感器:激光雷达(LIDAR):用于环境感知和建图。
6.IMU(惯性测量单元):用于姿态估计和导航。
7.摄像头:支持视觉导航和目标识别。
8.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)。
9.操作系统:支持 ROS。
10.开发环境:支持 Ubuntu Linux,提供完整的 ROS 开发工具包。
11.编程支持:支持 C++ 和 Python 编程,适合不同层次的开发者。
12.移动速度:通常为 0.5-1.5 m/s,可根据需求调整。

1. Chassis type: differential drive chassis
2.Motor: High performance DC motor with encoder.
3. Load capacity: supports 5-10 kg loads.
4. Battery: Li-ion battery pack, the endurance time is usually 2-4 hours, support fast charging.
5. Sensors: LIDAR (laser radar): for environmental awareness and mapping.
6. IMU (Inertial Measurement Unit): for attitude estimation and navigation.
7. Camera: supports visual navigation and target recognition.
8. Expansion interface: provide USB, HDMI, GPIO and other interfaces to support external devices (such as sensors, monitors, etc.).
9. Operating system: support ROS.
10. Development environment: support Ubuntu Linux, provide a complete ROS development toolkit.
11. Programming Support: Support C++ and Python programming, suitable for different levels of developers.
12. Moving speed: usually 0.5-1.5 m/s, can be adjusted according to the demand.

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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