MIT researchers develop robot to assist people with limited mobility in dressing.

Researchers at the Massachusetts Institute of Technology developed a robot that helps people with limited mobility dress. They trained the system to balance dexterity, speed and safety on the device.

A team led by PhD student Shen Li developed an algorithm that, in addition to preventing collisions, allows “safe impacts”. This allowed the robot to complete its task while its impact on the person remained small.

Li said that developing algorithms to prevent physical harm while maintaining effectiveness is a critically important task in the design of assistive devices.

“By enabling robots to exert harmless effects on people, our method can find effective movement trajectories that guarantee human safety,” he added.

Experiments showed that the robot could handle the task even when a person performed other actions, such as checking their phone. This was achieved by combining several models for different situations.

“This multifaceted approach unites set theory, safety constraints, motion prediction, and feedback-controlled management for safe interaction,” said Zakori Erikson of Carnegie Mellon University.

The research is still in its early stages, but the ideas could be applied in other fields, scientists say.

“This research potentially applies to a wide range of scenarios in assistive robotics to achieve the ultimate goal — enabling robots to provide safer physical assistance to people with limited mobility,” said Erikson.

In July, Spanish engineers developed ИИ-очки для людей с нарушениями зрения.

In May, researchers from Stanford University unveiled a neural interface that позволил парализованному ниже шеи 65-летнему мужчине печатать текстовые сообщения.

In March, the University of Georgia developed an AI backpack to help people with impaired vision navigate their surroundings.

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