Companion robot for older adults

A companion robot for older adults, with cognition and prefrontal measurement built in.

It keeps older adults company and measures cognition and prefrontal activity during daily interaction, so families and care workers can see change early and step in.

  • Companion robot
  • Uedu Brain headband
  • Garmin watch
Illustration: an older woman at home wearing a soft headband and touching the screen of a companion robot
At home with the companion robot. Illustrative image.
20.06%
of Taiwan aged 65+ at the end of 2025
23.3%
of older adults in Taiwan lived alone in 2023
5.0 ms
heartbeat agreement with Polar H10
23
cognitive tests that play like games
~US$650
headband components

The challenge

Ageing is gradual and easy to miss.

Super-aged in 7 years

Taiwan crossed 20% aged 65+ in 2025; the region is following.

Changes go unseen

Sleep, stress, attention and memory shift quietly for months.

Alone, and far from care

Many older adults live alone, and rural elders live hours from a hospital.

Brain sensing stays in labs

Portable research fNIRS systems are estimated at tens of thousands of US dollars or more.

An older man walking with a cane along a quiet village lane
Illustrative image.

The solution

A companion robot, with our platform and sensors behind it.

Companion robot

Talks, reminds and plays brain games with the older adult every day.

Behind the robot

Uedu platform

One timeline for each person, with AI in plain language and consent control

Database

Each person's record of body, brain and cognition, built up over months

Physiological sensors

Our own fNIRS headband, built to add EEG, and a Garmin watch

Older adult

sees own progress

Family

knows a parent is well

Community worker

notices change, visits sooner

Care team

gets records before a visit

System architecture

How the pieces connect.

Uedu Brain architecture: the companion robot, watch and headband, the Uedu platform, and the care circle

How it works

Four steps, all at home.

1 · Every day

Talk with the companion robot

Conversation, reminders, stories and photos from family.

2 · Every day

Wear a Garmin watch

Daily HRV, sleep, steps and stress via the Garmin Health API.

3 · At home

Play brain games with the headband

The robot guides a short session: 8 fNIRS channels and heartbeat intervals. USB today, Bluetooth next.

4 · Uedu

See one timeline

AI explains trends in plain language; care teams get records before a visit.

The care timeline
Demo care timeline with Garmin summaries, a change notice and sharing settings
Demo with a fictional person and synthetic data.

Her own usual range

Every measure compared with the person, not a population.

Change noticed

Suggested next steps for family and care workers.

Four views

Elder, family, worker and care team each see what they need.

Open the demo care timeline

What makes it different

Prefrontal signals during everyday interaction.

One timeline

Body, brain and cognition aligned for each person, on one clock.

Our own measurement chain

We design the headband, the board and the platform.

Within reach of a family

~US$650 in headband components.

Tests that play like games

23 tests, 8 domains, millisecond timing.

Proven wearable integration

Garmin Health Awards 2023 top-three finalist, the only team from Asia.

The hard part

Many teams can build companion robots and cognitive tests. We work on usable prefrontal signals during the interaction.

Compared with what exists
CapabilityUedu BrainCompanion robotsElder-care wearablesResearch fNIRS systems
  Daily company and remindersPrototypeReminders only
  Everyday physiology at homeVaries
  Cognitive gamesSomeRarelySeparate software
  Brain signals
  One timeline per personSingle signalLab sessions
  Affordable for a family or centreVariesTens of thousands of US$ or more
  Shared with family and care teamFamilyVariesResearchers only

Inside the headband

Designed and built by our team.

Illustration: an older man wearing a slim headband, its cable running to a small closed case
The headband and its small connection case. Illustrative image.
Diagram of light source and detectors over the forehead
Light source and detectors (standard template).

8-channel fNIRS

730 and 850 nm

Forehead

Left and right, F7 and F8

35 mm + short

Brain and scalp channels

Heartbeat

5.0 ms vs Polar H10

Up to 60 min

per session, ear-clip ground

USB today

Bluetooth to iPad next

EEG-ready

Modular design

~US$650

in components

Value to community and society

Care that reaches where older adults live.

At home

With family, community centres and local clinics behind them

One companion robot

Talk, play, wear a light headband

Families can own one

A fraction of research systems

16 languages

Interface ready for the region

Quality of life

Company every day

Someone to talk with, reminders, and favourite stories.

Family stays close

Children in the city see a parent is sleeping and moving well.

Workers visit sooner

Changes in sleep, cognition or brain signals are noticed early.

Doctors come prepared

Organised records before a visit, not memory.

An older woman at home beside a companion robot
At home. Illustrative image.
A group of older adults with a community worker
Community centre. Illustrative image.
A small rural health station
Local clinic. Illustrative image.

Quality and trust

Reliable measurement, privacy by design.

Measured signals

5.0 ms vs Polar H10; consistent breath-hold response

Precise timing

Millisecond game timing; no AI calls during tests

Always on

Primary and standby servers; updates without interruption

Consent first

The older adult decides who sees their data

What we keep

Heartbeat intervals

Data in Taiwan

Stored on Uedu's own servers

Our journey

From wearable data to brain sensing.

2023

Mindfit

Garmin Health Awards 2023 top-three finalist; 60+ partners entered, the only team from Asia in the final.

2024

Uedu launched

AI-supported platform by Chia-Kai Chang; later Garmin integration and 23 cognitive tests.

2026

Uedu Brain version 1

Our own 8-channel fNIRS headband, validated against Polar H10.

NEXT

The companion robot at home

Reminders, guided headband setup, Bluetooth, the EEG module, and pilots with homes and care centres.

Illustration: three young researchers presenting a wearable health project on stage
Presenting in the final round, Garmin Health Summit 2023, Singapore. Illustrative image.

Team

The people behind Uedu Brain.

Chia-Kai Chang

Founder. Leads Uedu, the care workflow and the research.

K.-H. Li

Co-Founder. Builds and operates the Uedu platform.

C.-T. Lee

Research Assistant. Builds and validates the headband.

Pilot with us

Bring the companion robot to your community.

We welcome local governments, community care centres, active-ageing learning centres, local clinics and companion-robot makers to plan a small pilot with us.

Together we can plan the setting, train community workers, and evaluate how older adults use the tools, whether noticed changes are followed up, and how health habits change over time.

Contact

[email protected]

Chia-Kai Chang, Educational Omics Lab, National Central University

Every older adult, wherever they live, understood and well cared for.

A companion robot at home, with brain measurement once confined to hospital laboratories.