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The Professional-Grade Platform for Social Robotics and Edge-AI Deployment

Misty, now under the Furhat Robotics umbrella, represents the 2026 pinnacle of versatile social robotics designed for developers and enterprise researchers. Built on a dual-processor architecture utilizing Qualcomm Snapdragon 820 and 410, Misty functions as an advanced Edge-AI node capable of sophisticated computer vision, multi-modal sensor fusion, and autonomous navigation. The platform's technical core is powered by the Occipital Structure Core for real-time 3D SLAM (Simultaneous Localization and Mapping), enabling precise spatial awareness. In the 2026 landscape, Misty has transitioned into a primary interface for Large Language Models (LLMs), allowing developers to bridge the gap between generative AI and physical agency. The robot's extensibility is a key differentiator, featuring physical expansion ports (backpacks) for Arduino or Raspberry Pi and a robust REST API/WebSocket layer that supports C#, JavaScript, and Python. By combining high-fidelity non-verbal expressions via 4K LCD eyes and a 3-axis neck with industrial-grade sensing, Misty is positioned as the go-to hardware for healthcare assistance, educational research, and high-end hospitality automation.
Misty, now under the Furhat Robotics umbrella, represents the 2026 pinnacle of versatile social robotics designed for developers and enterprise researchers.
Explore all tools that specialize in detect objects. This domain focus ensures Misty delivers optimized results for this specific requirement.
Explore all tools that specialize in process natural language. This domain focus ensures Misty delivers optimized results for this specific requirement.
Explore all tools that specialize in slam. This domain focus ensures Misty delivers optimized results for this specific requirement.
Uses Occipital Structure Core and infrared depth sensors to build high-fidelity 3D maps of environments.
Integrates data from 8 time-of-flight sensors, 4 capacitive touch zones, and a 4K camera simultaneously.
Hardware expansion port including USB and serial connections for external microcontrollers.
High-resolution LCD display for eyes and a 3-axis neck with 10 degrees of freedom.
Qualcomm Snapdragon neural processing engine (SNPE) for local image inference.
3-microphone array with noise cancellation and beamforming for voice localization.
Low-latency peer-to-peer video streaming protocol integration.
Unbox Misty and connect the magnetic charging dock to a stable power source.
Power on the robot and wait for the LCD eyes to initialize.
Download the Misty App on a mobile device or tablet for initial Wi-Fi provisioning.
Connect Misty to a 2.4GHz or 5GHz network via the mobile app.
Access the Misty Command Center via the robot's local IP address on a web browser.
Authenticate using the unique serial number and set developer permissions.
Install the Misty SDK (JavaScript or Python) on your local development machine.
Use the 'Hello World' skill template to test motor and voice functions.
Configure API keys for external LLM services (OpenAI/Anthropic) via the cloud console.
Deploy your first custom skill to the robot's onboard storage via the CLI.
All Set
Ready to go
Verified feedback from other users.
"Users praise the hardware reliability and the openness of the SDK, though some find the SLAM configuration steep for beginners."
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