One characteristic of socially disruptive technologies is that they have the potential to cause uncertainty about the application conditions of a concept i.e., they are conceptually disruptive. Humanoid robots have done just this, as evidenced by dis...
Bio-inspired robot controllers are becoming more complex as we strive to make them more robust to, and flexible in, noisy, real-world environments. A stable heteroclinic network (SHN) is a dynamical system that produces cyclical state transitions usi...
Most walking organisms tend to have relatively light limbs and heavy bodies in order to facilitate rapid limb motion. However, the limbs of brittle stars (Class Ophiuroidea) are primarily comprised of dense skeletal elements, with potentially much hi...
INTRODUCTION: The objective of this article is to assess the potential of imaging, robotics, and artificial intelligence (AI) to significantly improve spine care, preoperative planning and surgery.
Empowering intelligent robots with cognitive abilities that rival or even surpass those of humans is the key to enabling more complex and sophisticated interactions. Currently, most electronic skins (e-skins) perform excellently in distinguishing sha...
Skeletal muscle's elegant protein-based architecture powers motion throughout the animal kingdom, with its constituent actomyosin complexes driving intra- and extra-cellular motion. Classical motors and recently developed soft actuators cannot match ...
BACKGROUND: The assessment and enhancement of lower limb motor function in hemiplegic patients is of paramount importance. The emergence of lower limb rehabilitation robots offers a promising avenue for improving motor function in these patients, add...
Magnetic fields enable remote manipulation of objects and are ideal for medical applications because they pass through human tissue harmlessly. This capability is promising for surgical robots, allowing navigation deeper into the human anatomy and ac...
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Mar 24, 2025
OBJECTIVE: This study investigates the neurophysiological outcomes of combining robot-assisted gait training (RAGT) with active transcranial direct current stimulation (tDCS) on individuals with spinal cord injury (SCI).
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