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

The researchers from the School of Artificial Intelligence, University of Chinese Academy of Sciences, have developed a lower limb rehabilitation robot that utilizes human-machine interaction-based ...

The ARC3D system consists of the modified Haptic Master with Biodex chair. The subject’s arm weight is supported to allow free movement. Taking products that are available on the market and using them ...

Spinal cord injuries are life-altering, often leaving individuals with severe mobility impairments. While rehabilitation robotics—devices that guide movement during therapy—have improved training for ...

The recovering stroke patient takes a successful step on the balance beam, then stumbles and falls. The therapist doesn't move to catch her. After all, that's the robot's job. Researchers at ...

This research has broken through the limitations of traditional rehabilitation robot control methods, which often rely on fixed or variable impedance control with no consideration for the patient's ...

A research team developed a system that automatically recommends the optimal rehabilitation program based on a simple test to check the severity of motor paralysis after a stroke. The increasing ...

Commercial arm robots are increasingly deployed in order to aid stroke patients in their recovery. Around 80% of patients have problems with their arm function. Robots are also seen as a solution to ...

Assistive robotics for gait support and rehabilitation represent an evolving field at the intersection of robotics, biomechanics and clinical practice. The integration of sensor technologies with ...

Zen Koh, Co-Founder & Global CEO of Fourier Intelligence with VIPs during the ribbon cutting ceremony. Visitors learning about the ExoMotus™ M4, an exoskeleton that focuses on the lower extremities.