AI stacks require heavy processing and high energy use. Humanoid robots run on batteries with limited power. This makes it ...

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

UChicago scientists team up with Chicago Public Schools to test if robots need fictional personalities to teach effectively ...

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 ...

Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial ...

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 ...

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

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 ...

Manufactured in the United States, Realbotix's patented AI and robotics technologies enable lifelike expressions, motion, ...

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 ...