Luxonis Rae Robot

LuxonisSKU: RB-Lux-46
Manufacturer #: RAE

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Sale price €586,21

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Description

  • Rae Robot by Luxonis
  • Fully-developed, open-source robot from Luxonis
  • Equipped with ROS 2, SLAM, RVC3, DepthAI, and more
  • Compatible with Unity for simulation and Machine Learning applications
  • Connects to RobotHub, a cloud-based platform for development and collaboration

The Luxonis Rae Robot is a pioneering fully-developed device from Luxonis. This open-source module is imbued with multiple capabilities. It is equipped with standard features such as ROS 2, SLAM, RVC3, and DepthAI, among others, right from the onset.

The Rae can be utilized in conjunction with Unity for simulation and Machine Learning applications. Furthermore, it can be linked to a novel cloud-based platform, RobotHub, which serves as a hub for development and community collaboration.

The core of what makes RAE so powerful is robotic vision, provided by two OV9782 stereo sensors and an IMX214 4K sensor in the front, and an additional two OV9782 stereo sensors in the back. The functionality shown here is all on-device standard and packs the punch that lets you learn, play, experiment, and create.

  • 1x Luxonis Rae Robot
  • 120 x 120 x 32 mm / 4.75 x 4.75 x 1.3 inches

  • Front Camera System: (2) OV9782 global shutter stereo pair | (1) IMX214 high resolution, 4K RGB
  • Back Camera System: (2) OV9782 global shutter stereo pair
  • VPU: Robotic Vision Core, Series 3 (RVC3)
  • Storage: 32GB eMMC
  • RAM: 2x 2GB LPDDR
  • Battery: 5,000 mAh LiPo battery, BMS - Approximate 1 hour of charge
  • Housing: Rugged metal casing
  • Motor: 2x DC motor controller
  • Wheels: Motorized rubber wheels with encoders for precise positioning and optimal mobility
  • LED System: 40 piece individually controllable RGB LEDs with variable color and intensity
  • Microphone: 6x I2S microphone array to allow triangulation of sound
  • Speaker: 1x 1W speaker with 100 Hz ~ 20 kHz frequency response
  • IMU: BMI270 Bosch Sensortec 6DOF inertial measurement unit
  • Design: Fully DepthAI API compatible | Fully Unity compatible | Fully ROS 1 and ROS 2 compatible
  • Weight: 400 g / 0.875 lbs

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