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

Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract ...

The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

When it comes to the role of AI in our lives, the conundrum we have to crack is if—and how consciously—we inhabit our own minds.

Abstract: Nonlinear affine systems with relative degree two widely exist in the control field, and the unified output tracking control approach of these systems is still an open problem. This paper ...

Abstract: Although numerous results exist on the control of nonlinear systems subject to either tracking error constraints or full-state constraints, most of them can ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Correspondence to Dr ST Fonseca, Graduate Program in Rehabilitation Science, Physical Therapy Department, Universidade Federal de Minas Gerais, Minas Gerais, Avenida Presidênte Antônio Carlos, ...

This project features a complete control pipeline for a prosthetic arm, moving from basic serial communication to complex Inverse Kinematics and a Graphical User Interface (GUI). Hardware Setup ...