Intel certified Developer Kit, powered by Intel® SoC.

UP Xtreme i11 & UP Squared 6000 Robotic Development Kits

UP Bridge the Gap has partnered with Intel to develop two new generations of robotic development kits. These kits are powered by the 11th Gen Intel® Core™ processors with Iris® Xe graphics and the latest Intel Atom® x6000E Series processors to offer both high-performance and power-efficient options, respectively.

The Robotic Development Kits are a complete package that come with a computing and vision unit, a motion unit (motor control board, motors and wheels), and the Intel Edge Insights for Autonomous Mobile Robots (Intel EI for AMR) to enable software and hardware integration. Every component works seamlessly together to reduce evaluation and development time. The Robotic Development Kits deliver a pre-validated AMR platform to accelerate deployment of ROS-2 based AMR applications.

Key Strengths

Omnidirectional AMR Development Platform. Powered by Intel®

Complete hardware package for AMR development includes a computing unit (choose from UP Xtreme i11 or UP Squared 6000), vision unit (Intel® RealSense™ Depth Camera D435i), and Mecanum Wheels Robot (including motor control board). The pre-validated software, Intel EI for AMR, helps to orchestrate each hardware component to minimize evaluation time and integration development. The sample AMR applications from Intel EI for AMR provide an easy shortcut to building an AMR, which helps to accelerate the time to market.

Powerful Software Suite for AMR Development

Intel EI for AMR offers containerized software packages for sensor data acquisition, classification, environment modelling, action planning, action control. Based on the Robot Operating System 2 (ROS 2), Intel EI for AMR also includes the Intel® Distribution of OpenVINO™ Toolkit, Intel® oneAPI Base Toolkit (Base Kit), Intel® RealSense™ SDK, and other software dependencies in a container, as well as reference algorithms and deep learning models as working examples.

In addition to autonomous mobility, the package showcases map building and Simultaneous Localization And Mapping (SLAM) functionality. The package uses an open-source version of visual SLAM with input from an Intel® RealSense™ D435i. As an option, the package can run LIDAR-based SLAM and compare those results with visual SLAM results on accuracy and performance indicators. This package detects the objects and highlights them in the map.

Vision from Edge to Cloud
 

Intel® RealSense™ depth camera D435i has an inertial measurement unit (IMU) inside, which opens the door for rudimentary SLAM and tracking applications, allowing for better point-cloud alignment. The IMU allows applications to refine depth awareness in any situation where the camera moves.

The Intel OpenVINO™ (Open visual inference and neural network optimization) toolkit provides a ROS–adapted runtime framework of the neural network. By leveraging its corresponding libraries, Intel® OpenVINO™ toolkit can reinforce the efficiency of deploying applications for vision inference.

Choose Your SKU

Intel
Core™
i7-1185GRE

HIGH PERFORMANCE
  • 15W TDP
  • -40 to 100°C Temp. Range
  • 4 Cores
  • 1.8 GHz (Turbo up to 4.4 GHz)
  • Intel® Iris® Xe Graphics 96EU
  • In-Band ECC
  • Intel® Programmable Services
      Engine (PSE)1
  • Intel® Time-Coordinated
      Computing (TCC)
  • TPM 2.0 on board

Intel
Atom®
x6425RE

ENTRY LEVEL
  • 12W TDP
  • -40 to 85°C Temp. Range
  • 4 Cores
  • 1.9 GHz
  • Intel® UHD Graphics 32EU
  • In-Band ECC
  • Intel® Programmable Services
      Engine (PSE)2
  • Intel® Time-Coordinated
      Computing (TCC)
  • TPM 2.0 on board

What can you achieve with this kit?

Live Test of Robotic Operation Applications

Run sample applications to perform robotic operations such as object detection, simultaneous localization and mapping (SLAM), navigation, and object avoidance.

Evaluate Applications for Optimization

Collect benchmark data, perform experiments, and evaluate applications as they are developed to optimize any applications running on EI for AMR solutions.

Customize Reference Software for Autonomous Mobile Robots

Modify reference software with artificial intelligence and SLAM algorithms or replace software modules with custom solutions to meet your application needs.

Intel® RealSense™ depth camera D435i as input for the SLAM

Vertical Markets

Community Support

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UP Wiki

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Find out the pinout and its pin-function here:
UP Xtreme i11
◉ UP Squared 6000

UP Downloads

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UP Xtreme i11 & UP Squared 6000 Robotic Development Kits