The year 2026 marks a pivotal moment in the evolution of robotics, as advancements in artificial intelligence, particularly physical AI ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...

Recent advances in robotics have accelerated the development of sophisticated collision detection methodologies and enhanced human–robot interaction (HRI) protocols to ensure safety and optimise ...

Human-following mobile robots are designed to autonomously track, follow and assist a designated individual in a variety of environments. These systems integrate advanced sensor technologies, such as ...

Social by nature, humans interact in multiple ways—through voice, vision and touch. Reflecting these humanistic qualities, robotic capabilities are improving, and as such, human-robot interaction will ...

The study of natural and artificial intelligence in physical agents has a great interest both from a scientific and technological point of view. On the one ...

Editor’s Note: This is part of a series called Inside the Lab, which gives audiences a first-hand look at the research laboratories at the University of Chicago and the scholars who are tackling some ...

What makes a robot truly intelligent? Is it the ability to solve complex equations in milliseconds or something more human-like—such as recognizing a misplaced object in a cluttered room or adapting ...