AI Educational Robot for Autism and ADHD: Empowering Children with Autism a

Discover a high-quality AI educational robot I built to support learning for children with Autism and ADHD

My Mission at Synapsis Health AI

Who I am

I’m Reza Shoja Ghias — the builder of a Buzz Lightyear–inspired humanoid robot. I’m a researcher and multimodal AI + robotics R&D engineer with 10+ years of experience building real-time AI systems for production environments, spanning 2D/3D vision, robotics, and modern LLM-based interaction.

I’m currently open to new roles. Synapsis Health AI is a long-term weekend project and a lifetime commitment I maintain alongside my professional career. My current focus is making ChatGPT-like language models run on affordable, low-power chips. If this becomes practical, it could be a game-changer for autism and ADHD learning support—bringing private, reliable, always-available learning companions to more families. I’m also exploring multimodal RAG chatbots that combine text, vision, and audio—deployable in the cloud for scale and on embedded devices for low-latency, privacy-first experiences.

My background

Before Synapsis Health AI, I worked at Zebra Technologies on the SmartSight Robotics program (2017–2022), where I was a Staff-level Computer Vision & AI R&D engineer, leading vision and 3D perception work for an inspection robot platform. I’m also an inventor on US Patent US11100303B2, a label detection system used in high-speed industrial inspection robots.

Earlier, I was a Computer Vision Scientist at Vrvana (acquired by Apple), contributing to real-time SLAM systems connected to technology later integrated into Apple Vision Pro.

Why I started Synapsis Health AI

In 2022, after our robotics project at Zebra was paused, I made a life decision: I left my Staff-level AI R&D role to devote my time to supporting autistic children and their families.

Over time, I noticed something many parents already know: some children are eager to learn and highly capable, but they can be underserved in public schools because sensory processing differences and attention patterns are sometimes misunderstood as “behavior problems.” Often, it’s not a lack of ability — it’s a mismatch between the child’s brain and the environment they’re forced to learn in.

What Synapsis Health AI is

Synapsis Health AI is a non-profit, research-driven initiative — not a charity and not a commercial enterprise. It’s a long-term weekend R&D project focused on advancing Physical AI by combining:

LLMs for conversation
LVMs for visual understanding
LAMs for embodied interaction

My education philosophy

I strongly believe education should be personalized, so every child can flourish. Public education works for many kids, but it doesn’t always fit children who learn quickly yet struggle with attention, regulation, or sensory overload. Medication can help some families, but it can also have side effects and isn’t the right solution for everyone.

My philosophy is simple: instead of constantly trying to force a child’s attention, why not teach within the child’s natural attention window? Learning shouldn’t always be “9 to 5.” Every child has their own rhythm, interests, and developmental timing. When education follows that rhythm, learning can become calmer, more effective, and more joyful.

What I have built

I help families build custom 3D-printed AI educational robots that support children with ADHD, autism, and learning challenges. The goal is not to replace teachers or increase screen time — it’s to create an intelligent learning companion that meets a child where they are, patiently and respectfully.

My robots combine:

🧠 Real-time attention tracking & neurofeedback
💬 Conversational intelligence powered by LLMs
👁️ Visual understanding via LVMs
🤖 Embodied interaction guided by LAMs

How I operate

First, Synapsis Health AI is not a business. I’m a researcher and developer, and I’m happy to share what I build with any family who needs it—at no cost. I work on this project during my weekends. I also help families explore, test, and (when possible) build more robots.

I run this work through family-based fundraising. Each contribution directly supports the design and creation of a personalized robot tailored to a child’s unique needs and learning style.

I also follow an open science philosophy, building with open-source frameworks under non-commercial licenses to keep this work ethical, transparent, and accessible.

If you’re a parent

If you’re a parent of an autistic child and you’re curious whether this robot could help, feel free to contact me. Maybe this robot can help you too. I’m happy to let my robot interact with your child to explore strengths and learning potential that are too often overlooked. I don’t charge for this — my goal is to learn, share, and support families with my knowledge and experience.

Even one life matters.
And through Physical AI, I’m turning compassion into innovation — one child at a time.