Moxie

Moxie

Moxie is an AI-powered educational companion robot designed to help children ages 5-10 develop social, emotional, and cognitive skills through play-based learning. The robot engages children in empathetic conversations, models emotional recognition and regulation, and guides them through weekly missions focused on life skills such as kindness, friendship, empathy, active listening, and problem-solving. Powered by SocialX platform and GPT-powered AI, Moxie perceives natural conversation, facial expressions, and eye contact to create personalized, one-on-one interactions. It serves as a judgment-free practice environment for children to rehearse social interactions and build confidence in communication.

Manufacturer
Embodied Inc
Rating
★★★★☆(4.0)
Launch Year
2020
Price
USD 799 – 1,499
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Robot Specifications

Primary Use Cases
Social-emotional skill development for children; emotional intelligence building; communication confidence practice; life skills training (kindness, empathy, friendship, respect, turn-taking, active listening, emotion regulation, problem-solving); support for neurodivergent children
Deployment
Autonomous with child interaction; AI-driven responses
Multi-Robot Coordination
Not applicable (single-child focused design)
Educational content delivery; emotional and social skill development

Review Videos

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Moxie Review Video 1
Moxie Review Video 1
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Frequently Asked Questions

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Q1. What is Moxie, and what problem is it designed to solve?

Moxie is an AI-powered social robot developed by Embodied, Inc., designed to support social-emotional learning (SEL) in children. According to the manufacturer, it addresses gaps in emotional development by providing interactive, empathic engagement through conversational AI, facial expressions, and body language.

Q2. What are the main capabilities and key features of Moxie?

Moxie features a curved HD display for facial expressions, gesture-capable arms, continuous multi-directional listening, real-time visual tracking, and a proprietary SocialX platform integrated with language models. The robot responds to abstract questions and emotional content with context-aware, empathic replies and supports content updates via cloud synchronization.

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