AZoRobotics on MSN
Can AI Make Rehabilitation Robots Feel More Natural?
The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.
A new paper outlines a unified, simulation-first pipeline that validates a lightweight, 3D printed 14 DOF humanoid before any plastic touches a heated bed.
What do you want out of life? Instead of ignoring daunting questions like this, designer Bill Burnett says we should use ...
I’ve seen firsthand how well-designed market solutions can transform global industries. And it turns out the same approach ...
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
Among the most promising tools of cancer therapy, engineered immune cells known as chimeric antigen-receptor (CAR) T cells have already transformed the treatment of blood cancers. Yet, despite their ...
This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
News-Medical.Net on MSN
Brain organoids show goal-directed learning in control task
Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It ...
David Sloss is the John A. and Elizabeth H. Sutro Professor of Law at the Santa Clara University School of Law. Views are his own. Congress should enact legislation to prohibit agents of authoritarian ...
Have you ever been talking to someone and, no matter how much you tried, you just weren't clicking with them? They just didn't seem to understand what you were asking, or maybe they misunderstood what ...
Pioneering studies suggested that motor information in the cortex is coded through the combined actions of large populations of widely tuned neurons rather than by small numbers of highly tuned ...
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