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

Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining ...

Researchers have developed a mathematical framework to design knee-like joints in robots, called rolling ...

Assistive robots and related technologies are revolutionising the way society caters to the needs of an ageing population and individuals with disabilities. By integrating collaborative robotics, ...

A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...

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 ...

Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research awards grants to research teams across ...

Consider the marvelous physics of the human knee. The largest hinge joint in the body, it has two rounded bones held together ...

Mordor Intelligence, a global leader in market research and advisory services, reports that the service robotics market size ...

A new study suggests humans can sense hidden objects without touching them, by detecting faint movements in sand. This unexpected form of “remote touch” challenges traditional ideas about how the ...

Robots waste power & depend on control to move. A joint design shifts control into the structure, helping robots walk & grip ...