A research paper by scientists at the City University of Hong Kong proposed a hybrid model-based and online data-driven control method for a tendon-driven continuum robot, which requires no prior dataset collection or training. The method incorporates the Jacobian derived from the piecewise constant curvature model with online Jacobian error compensation using a Kalman filter.

A review paper by scientists at Zhejiang University presented a comprehensive review of recent developments in the structural design of single-legged robots and systematically summarizes prevailing modeling approaches and control strategies..

More than 12 million Americans experience visual impairments that limit independence and quality of life. This National Eye Institute grant will fund research on enhancing visual perceptual learning – the brain’s ability to detect subtle visual differences – by leveraging attention mechanisms to generalize improvements across the visual field. Using computational modeling, brain imaging, and neurochemical analysis, the project aims to advance vision rehabilitation, optimize training in visually demanding professions, and inform AI systems that learn and adapt like the human brain.