Piotr Falkowski of Łukasiewicz – Industrial Institute for Automation and Measurements (PIAP) is working on an exoskeleton to support functional remote physiotherapy at home, ensure patient safety and enable improvement of patient movements with as little supervision by a specialist as possible.

The project envisions the use of artificial intelligence and machine learning elements. The networks used by the Lukasiewicz – PIAP researchers are designed to learn movement patterns and associated anatomical and functional compensations, so that the physiotherapist can introduce the movement itself, dragging the patient’s limb as it happens during conventional manual therapy. This will allow the system to track these movements and note any errors.

“We used learning control algorithms. They will extend the simple training movements introduced by the rehabilitator by analyzing the anatomical and functional correctness of the patient’s repetitions. This will allow ongoing monitoring of progress or errors and their correction, without the need to meet with a physiotherapist”, explains Piotr Falkowski.