XiaoR GEEK ROS Robot Car with 4DOF Robotic Arm & 7 inch Display Support SLAM Mapping/ Navigation

XiaoR GEEKSKU: RM-XIAO-02Q
Manufacturer #: 001.006.042

Price  :
Sale price $1,947.93

Shipping calculated at checkout.

Stock  :
In stock (178 units), ready to be shipped

Description

  • ★Including Jetson Nano motherboard*1 ★TF card*1 and battery pack*1 and so on.
  • Pre-installed with ROS Melodic, supporting mainstream libraries such as Moveit!, OpenCV, and TensorFlow.

1. Powerful Main Processor & AI Computing Capability

Powered by NVIDIA Jetson Nano, supporting AI artificial intelligence operations, providing hardware foundation for edge computing and deep learning inference.

Pre-installed with ROS Melodic and Ubuntu 18.04 virtual machine environment, lowering the development barrier.

2. High-Precision Environmental Perception & Localization

Equipped with Rplidar A1 360° LiDAR (12m ranging range, 8000 samples/second), supporting multiple SLAM algorithms including gmapping / hector / cartographer, enabling real-time mapping,定点 navigation, and dynamic obstacle avoidance.

3. Complete ROS-Based Robotic Control System

Deep integration with Moveit! motion planning framework, supporting forward/inverse kinematics, collision detection, trajectory planning, and visual grasping.

Supports C++ / Python dual-language development, suitable for developers at different levels.

4. Rich Human-Robot Interaction Methods

7-inch 1080P HD capacitive touchscreen with self-developed XR-ROS human-computer interaction system.

Supports mobile APP (Android) for real-time control, mapping, and navigation.

Supports gesture recognition (Google Mediapipe, recognizing 0–8 gestures), facial landmark detection, and AR augmented reality (ArUco marker localization).

5. Modular Hardware & Scalability

Chassis powered by STM32F105 driver board, paired with DC brushed motors + 360-line AB encoders, enabling closed-loop PID speed control.

4-DOF robotic arm with a maximum grip weight of 50g and claw opening of 50mm, suitable for lightweight grasping education.

Large aluminum alloy body (310*240*360mm), stable structure, easy for secondary modification.

6. Deep Integration of Vision & Algorithms

Built-in four edge detection algorithms: Canny, Sobel, Scharr, and Laplacian.

Supports color line patrol (with dynamically changeable patrol colors), visual grasping, face/hand gesture interaction, covering mainstream computer vision application scenarios.

Product name: JETSON NANO SLAM Lidar car

Programming software: Python / C++

ROS version: ROS Melodic

IMU: Nine-axis gyroscope sensor

Virtual machine: Ubuntu 18.04

Camera: 1080P HD camera

Lidar: Rplidar A1

Bottom driver board: STM32F105

Network card: intel8625

Display screen: 7 inch 1080 HD touch screen (capacitive screen)

Battery: 2200mAh Lithium battery with charging protection 12V/8A

Electric machine: DC brushed motor (with 360 wire AB code)

Motor torque: Single 3.5N·m

Size: 310*240*360mm

Arm length: 280mm

Maximum grab weight: 50g

Maximum claw opening and closing: 50mm

Weight: About 3100g

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