Vocabulary infrastructure for the next generation of educational robots
The Scenario
At CES 2026, Elephant Robotics showcases Embodied AI and educational solutions. A myCobot-based classroom robot teaches vocabulary to kids using the Portable AI Educational Workstation. It needs an age-appropriate definition it can display on screen, a pronunciation audio file it can play through its speakers, a structured lesson to walk through, and quiz questions to make learning interactive and measurable. pymycobot + Orb Platform Python SDK = vocabulary-enabled robots.
Step 1 — Word Orb looks up the word
One API call returns a verified definition, translations, pronunciation audio, and etymology.
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Step 2 — Lesson Orb delivers a structured lesson
A 5-phase lesson (hook → story → wonder → action → wisdom) with the provider teaching archetype.
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Step 3 — Quiz Orb assesses comprehension
Assessment questions aligned to the lesson content through the knowledge graph. Your agent tests what it taught.
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Step 4 — The Knowledge Graph connects everything
30,288 connections link words to lessons to assessments. Every quiz question tests what the lesson taught.
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Why this matters for Elephant Robotics
pymycobot + Orb Platform Python SDK — vocabulary-enabled classroom robots in under 50 lines of code, using the same Python environment
240,000 pronunciation audio files (recorded, not TTS) — play directly through myCobot speakers via URL, no on-device TTS needed
Portable AI Educational Workstation can preload Orb’s full vocabulary database for offline classroom use — no internet dependency
Structured JSON responses with a fixed schema — parse once, render reliably on any myCobot, myAGV, or myCobot Pro 450 platform