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A walker teaches a wheelchair where to go

What changedNortheastern researchers collected 37.2 kilometres of routes using a rollator walker and smartphone. Because the walker cannot climb stairs or uncut curbs, its paths reflect wheel-friendly choices. Models trained with that data transferred to a powered wheelchair in selected scenarios. The collection tools and full dataset are still awaiting release.

Powered wheelchair approaching a curb and stopping, with the measured speed traces

The useful part

Why it matters

A cheap physical proxy can collect routes that respect wheel constraints without needing the target robot for every demonstration.

Keep in mind

Good to know

Transfer demonstrations cover curbs, stairs and curb cuts. Code, trained weights and the privacy-processed dataset are not yet public.

Evidence

Primary source

Sarvesh Prajapati and colleagues, Northeastern University

Read the complete 18 September 2026 edition