Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Ackerman/Mecanum-Wheel Depth Camera ROS-HUMBLE Support SLAM and Autonomous Driving
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SPECIFICATIONS
Brand Name: NONE
Feature 10: AI Python Starter Kit
Feature 11: Autonomous Driving
Feature 12: Support SLAM
Feature 13: Motor Robot Car Kit
Feature 2: Encoder Motor
Feature 3: Inspection Sensor
Feature 4: Intelligent Trolley Robot
Feature 5: Programmable Robot
Feature 6: For ROS Robot DIY Kit
Feature 7: ROS 4WD Robot Car Chassis
Feature 8: Depth Camera
Feature 9: Recognition
Feature1: Robot Car
High-concerned chemical: None
Is Electric: No Battery
Model Number: Robot Car
Origin: Mainland China
Power Source: Electric
Recommend Age: 14+y
Theme: Animals & Nature,Transportation,Fantasy & Sci-Fi,Occupations,Sports,Music
Warning: Don't touch the water
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Title:Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Ackerman/Mecanum-Wheel Depth Camera ROS-HUMBLE Support SLAM and Autonomous Driving
Chassis type: Ackerman/Mecanum wheel chassis
Product size: 212*171*147mm
Product weight: 1.2kg
Motor: 310 metal gear motor
Encoder: AB phase high precision quadrature encoder
Body material: all-metal aluminum alloy chassis, anodizing process
ROS main controller: RRCLite robot controller + Raspberry Pi 5 motherboard
Control mode: mobile APP control, handle control, PC control
Camera: Ansjan binocular 3D depth camera
LiDAR: Ledong STL-19P radar
Battery: 7.4V 2200mAh 20C lithium battery, with protection board, battery life 60min (different states are different)
Operating System: Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker)
Software: iOS/Android mobile APP
Communication mode: Wi-Fi/Ethernet
Programming tools: Python /C/C++ /JavaScript
Storage: 64G TF card
Servo model: LD-1501MG digital servo (Ackerman chassis version) and LFD-01 anti-jamming servo (monocular camera package)
Supporting materials: development manuals, video tutorials, ROS source code, system images, and supporting software
Packing weight and volume: about 2.1kg, length 412 * width 222 * height 180 (mm)
























