AERA

♿ Accessibility robotics

Autonomous Early-warning Robot for Accessibility

A crack in the sidewalk is nothing to most of us. For a wheelchair user, a lip just six millimetres high can be a wall. Twenty-seven percent of Canadians live with a disability, yet most sidewalks are still checked by hand, block by block — if they're checked at all.

AERA is my humanoid robot that walks the route, photographs the pavement, and uses AI to find every hazard — then hands the city a complete, mapped audit report.

Meet AERA

The full story in under three minutes — the problem, how AERA works, who it helps, and the idea that makes it pay for itself.

Read the transcript

A crack in the sidewalk. Most of us step right over it. But for a wheelchair user, a lip just six millimetres high can be a wall.

Twenty-seven percent of Canadians live with a disability. Yet most sidewalks are still checked the old way: by hand, block by block, if they're checked at all.

Meet AERA, the Autonomous Early-warning Robot for Accessibility. It was created by Mir Kahol, a Grade 9 student at Durham Academy Secondary School in Oshawa, Ontario.

Here's how it works. Mir starts a survey from a laptop, and AERA walks the route. Every thirty seconds, it saves the sharpest photo of the pavement ahead, tagged with the time and GPS location from a phone.

Because AERA is a humanoid, it can go where people go: through doorways, down narrow hallways, and along real neighbourhood sidewalks.

Back at base, artificial intelligence studies every photo. It looks for cracks, trip hazards, heaved slabs, missing curb ramps and obstructions, and marks exactly where each problem is. Anything that could catch a wheelchair caster or a cane tip is flagged for a closer look.

Then AERA builds a full audit report. A map of the route. The condition of every stretch. And every problem area, with its photo, severity and coordinates. It can be edited, exported as a PDF, and sent straight to the city.

So who does this help? Wheelchair users, and people with walkers. Seniors. Parents pushing strollers. People who are blind or have low vision. And cities, which finally get fast, objective data on where to fix first.

Why is this a game changer? Because it turns a slow, paper-based process into data. Every finding is photographed, checked against Ontario's accessibility standards, and pinned on a map. And the same route can be re-checked every season, to see what's been fixed, and what's getting worse.

And here's the bigger idea. On the very same walk, AERA can inspect utility installations: cabinets, pedestals, poles and covers. Utility companies pay for that inspection data. That revenue funds accessibility surveys for communities, at no cost to them.

One robot. One walk. A complete, self-sustaining ecosystem. AERA. Making every path accessible, one step at a time.

How it works

Walk the route

I start a survey from a laptop and AERA walks the route. Every thirty seconds it saves the sharpest photo of the pavement ahead, tagged with the time and GPS location from a phone.

AI finds the problems

Back at base, AI studies every photo for cracks, trip hazards, heaved slabs, missing curb ramps and obstructions — anything that could catch a wheelchair caster or a cane tip.

Build the audit

AERA builds a full report: a map of the route, the condition of every stretch, and each problem with its photo, severity and coordinates. Editable, exportable as a PDF, ready for the city.

AERA in action

Starting a Survey

Kicking off a survey from the laptop. From here AERA takes over the walk and starts capturing the pavement on its own schedule.

Walking the Sidewalk

AERA out on a real neighbourhood sidewalk — the exact surface it's built to inspect, one slab at a time.

Spotting an Issue

Finding a problem on the route. Every hazard gets photographed and pinned to its GPS location so it can be checked and fixed.

Mobility

Because AERA is a humanoid, it moves the way people do — which means it can survey the paths people actually use.

Going Where People Go

Wheeled robots get stuck at the places that matter most. As a humanoid, AERA can fit through doorways and down narrow hallways, so it can check indoor routes as well as sidewalks.

Who it helps

Wheelchair usersPeople with walkersSeniorsParents with strollersPeople who are blind or have low visionCities deciding what to fix first

Every finding is photographed, checked against Ontario's accessibility standards and pinned on a map — and the same route can be re-walked every season to see what's been fixed and what's getting worse.

The bigger idea

On the very same walk, AERA can inspect utility installations — cabinets, pedestals, poles and covers. Utility companies pay for that inspection data, and that revenue funds accessibility surveys for communities at no cost to them.

One robot. One walk. A self-sustaining ecosystem.