主要规格及技术指标

1.Core computing unit: NVIDIA® Jetson Nano 4GB
2.Robot type: Composite robot with a wheeled mobile chassis + multi - degree - of - freedom robotic arm
3.Mobile chassis: Mecanum wheel omnidirectional chassis
4.Drive motors: 4x DC geared motors (with encoder feedback)
5.Robotic arm: 6 - degree - of - freedom (6 - DOF) collaborative robotic arm, with an end - effector payload typically around 250g
6.Robotic arm repeatability: On the order of ±1 mm (suitable for educational scenarios)
7.End - effector: Adaptive two - finger gripper or suction cup (replaceable)
8.Main vision sensor: Depth vision module (e.g., Intel® RealSense D435i), supporting RGB - D information
9.Other sensors: IMU (Inertial Measurement Unit), ultrasonic/infrared obstacle - avoidance sensors, chassis encoders
10.Localization and navigation: Supports visual SLAM, laser SLAM (additional lidar required), AprilTag visual localization
11.Communication and interfaces: Wi - Fi, Bluetooth, Gigabit Ethernet, USB, HDMI, GPIO, I2C, UART
12.Control and development framework: Natively supports ROS (Robot 13.Operating System) 1/2, provides Python/C++ SDK, graphical programming interface (e.g., Blockly)
14.Power system: High - capacity lithium battery with integrated power management, typical battery life of 2 - 4 hours (depending on usage intensity)
15.Expansion capability: Abundant expansion interfaces are reserved, allowing connection to monitors, microphone arrays, expansion sensors, etc.
16.Main functions: Mobile grasping, autonomous navigation and obstacle avoidance, visual recognition and tracking, gesture/voice interaction, SLAM mapping, robot simulation, etc.

1.核心计算单元:NVIDIA® Jetson Nano 4GB
2.机器人类型:轮式移动底盘 + 多自由度机械臂的复合机器人
3.移动底盘:麦克纳姆轮全向底盘
4.驱动电机:4x 直流减速电机（带编码器反馈）
5.机械臂:6自由度（6-DOF）协作机械臂，末端负载通常为 250g 左右
6.机械臂重复定位精度:±1 mm 量级（适用于教育场景）
7.末端执行器:自适应二指夹爪 或 吸盘（可更换）
8.主视觉传感器:深度视觉模组 (如 Intel® RealSense D435i) ，支持RGB-D信息
9.其他传感器:IMU（惯性测量单元）、超声波/红外避障传感器、底盘编码器
10.定位与导航:支持 视觉SLAM、激光SLAM（需额外配置激光雷达）、AprilTag视觉定位
11.通信与接口:Wi-Fi、蓝牙、千兆以太网、USB、HDMI、GPIO、I2C、UART
12.控制与开发框架:原生支持 ROS (Robot Operating System) 1/2、提供 Python/C++ SDK、图形化编程界面（如Blockly）
13.电源系统:高容量锂电池，集成电源管理，典型续航 2-4小时（取决于使用强度）
14.扩展能力:预留丰富的扩展接口，可连接 显示器、麦克风阵列、扩展传感器等
15.主要功能:移动抓取、自主导航与避障、视觉识别与追踪、手势/语音交互、SLAM建图、机器人仿真等。

主要功能及特色

JetAuto from Huaner Technology is an AI composite robot development platform integrating a mobile chassis, a collaborative robotic arm, and depth vision. Its core feature lies in the deep integration of NVIDIA Jetson edge AI computing, an omnidirectional mobile chassis, and a 6-degree-of-freedom robotic arm. Relying on the native ROS 2 framework, it realizes the integration of "perception - decision - execution". The robot supports visual SLAM navigation, dynamic obstacle avoidance, and 3D visual recognition and grasping through the fusion of RGB-D cameras and multiple sensors. The Mecanum wheel chassis provides omnidirectional and flexible movement. Combined with the high-precision robotic arm, it can perform mobile grasping and operation tasks. The platform offers full-stack development support from graphical programming to ROS 2/C++, and is equipped with a toolchain for simulation and physical collaboration. It is specifically designed for teaching robot operating systems, researching mobile operation algorithms, and developing intelligent logistics prototypes.

幻尔科技JetAuto是一款集成移动底盘、协作机械臂与深度视觉的AI复合机器人开发平台，其核心特色在于深度融合NVIDIA Jetson边缘AI计算、全向移动底盘与6自由度机械臂，依托原生ROS 2框架实现“感知 决策-执行”一体化。机器人通过RGB-D相机与多传感器融合，支持视觉SLAM导航、动态避障及3D视觉识别抓取；麦克纳姆轮底盘提供全向灵活运动，结合高精度机械臂可实现移动抓取与操作任务。平台提供从图形化编程到ROS 2/C++的全栈开发支持，并配备仿真与实体协同工具链，专为机器人操作系统教学、移动操作算法研究与智能物流原型开发而设计。

主要附件及配置

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