Assistive robots enable community-based elderly rehab

Powered by advanced algorithms and robotics, the Data-driven Robotic Balance Assistant (DRBA) assists wearers with daily activities such as standing, walking, and sitting. It is capable of providing immediate stability support when it detects a potential fall, and it can also tailor users' rehabilitation programmes by collecting and analysing data.

It was built on the first Mobile Robotic Balance Assistant, developed and introduced in 2022, minus the ability to transform into an electric wheelchair.

The DRBA was tried out at two AACs operated by Lions Befrienders in Tampines, involving 12 seniors in August. Sessions also included Zumba and other group exercise classes.

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Assistive robots enable community-based elderly rehab

A community trial has shown that the data-driven, fall-detecting wearable robot developed at Nanyang Technological University requires less physiotherapist assistance.

Healthy aging

By Adam Ang | February 10, 2026 | 7:35 PM

Photo courtesy of Nanyang Technological University

Algorithm-driven wearable robots have helped seniors stay active while preventing falls and requiring less assistance from physiotherapists in recent trials at active ageing centres in Singapore. wearable assistive robot,

assistive technology,

fall detection,

robotics,

mobility rehabilitation,

physiotherapy

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