The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

Abstract: Designing optimal control laws in closed analytical form is still showing challenging computational issues. This may even hold for moderately complex problems like the linear quadratic (LQ) ...

Abstract: Control barrier functions (CBFs) are a popular approach to design feedback laws that achieve safety guarantees for nonlinear systems. The CBF-based controller design relies on the ...

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 ...

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.

A threefold hippocampal code across conceptual directions, phase-locked to entorhinal grid activity, reveals a periodic mechanism through which entorhinal grids structure hippocampal vector ...