What Amazon’s Astro Taught Me About Giving Robots a Soul

· Source: IEEE Spectrum · Field: Technology & Digital — Robotics & Autonomous Systems, Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

Amazon's Astro, its first consumer robot launched in 2018, initially lacked a defined character, sparking internal debate on whether it was merely Alexa on wheels or a distinct entity. Lead UX Sound Designer Mike Forst successfully advocated for Astro to have its own character, a decision validated by user testing. Astro communicated primarily through sound, motion, and facial expressions, with Alexa providing supporting dialogue. Forst's work involved defining Astro's character as a comprehensive design system, addressing emotional range and communication nuances. He emphasizes that character development should begin with story and sound, which then inform motion and facial expressions, as demonstrated by Astro's "alive" wake-up sequence. The article also highlights the importance of contextual character, where a robot adapts to its environment, distinguishing "smart" from "aware" devices, and suggests AI-driven adaptation can enhance this.

Key takeaway

For AI Product Managers and designers building embodied AI or conversational products, prioritize character definition early in the development cycle. You must establish a defensible character with emotional logic before defining interactions, ensuring all disciplines build from a shared foundation. Integrate story and sound design into this initial character pipeline, allowing it to inform motion and expression. Furthermore, design for adaptation, enabling your product's character to deepen through use rather than relying solely on consistency, to foster a sense of "awareness" in users.

Key insights

Character design for embodied AI must be intentional, integrated early, and adapt to context to create truly "aware" products.

Principles

Method

Define character through story and sound first, then use this foundation to choreograph motion, facial expressions, and interaction logic.

In practice

Topics

Best for: Product Manager, AI Product Manager, Product Designer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by IEEE Spectrum.