Misty II Enhanced Edition


Out of stock

SKU: CR-103 Category:

This Misty II Enhanced Edition is designed to support the robotic programming for assignments (use cases) with capabilities below:

  • Fully autonomous
  • Self-charging robot
  • Enhanced mapping/SLAM (Simultaneous Location and Mapping) with Open-Q™ 820Pro µSOM (Micro System on Module)
  • 3D images for AI and/or CAD
  • The Enhanced Edition produces maps for an ~1600-2000 sq ft space

Shipment includes:

  • Misty II Standard Edition Robot
  • Wireless Charging Base
  • 24v Power Supply for Charging Base
  • Foam Block Stand
  • User Guide
  • Legal Guide
  • Sticker Sheet
  • Carrying Case


Product Specification


  • Width: 20.32cm / 8in
  • Height: 35.56cm / 14in
  • Depth: 25.4cm / 10in


  • Qualcomm® SDA 820™ SOM (Basic, Standard)
  • Qualcomm® SDA 820™ PRO µSOM (Enhanced)
  • Qualcomm® SDA 410™ SOM

Computer Vision

  • Occipital Structure Core depth sensors for 3D maps (Standard, Enhanced)
  • 166° diagonal field of view wide-angle Structure Core camera – 106° horizontal x 60° vertical (Standard, Enhanced)
  • 4K camera
  • Facial recognition
  • Deep-learning AI using Qualcomm® Snapdragon™ Neural Processing Engine


  • 3 far-field microphones using Qualcomm® Fluence™ PRO
  • 2 high-fidelity speakers with engineered sound box and bass port


  • 6 capacitive touch sensors on head and chin

Distance and Obstacle Detection

  • 8 IR-based time-of-flight sensors (3 forward, 1 rear, 4 edge/downward)
  • 10 bump sensors (3 tied in parallel on each front corner, 2 tied in parallel on each rear corner)


  • Patent-pending 3-degree of freedom neck
  • Easily customizable moving arms
  • Sturdy track-driving tread system
  • Trailer hitch to pull a payload

Display & Light

  • 4” LCD image display/screen
  • Bright LED flashlight
  • Multi-color LED chest light


  • 2.4 and 5 GHz WiFi connection
  • Bluetooth and Bluetooth Low Energy capabilities


  • USB/Serial-connected backpack for hardware extension
  • The Misty Backpack for Arduino (sold separately)
  • Magnetic helmet connection point

Operating Systems

  • Windows IoT Core™ (Main)
  • Android™ 8 (Navigation/Computer Vision)

Development Tools

  • JavaScript and C# SDKs
  • REST, JavaScript, and Python remote command interfaces
  • Perception Engine

Documentation, sample code, and tutorials


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