The integration of control engineering, mechatronics and robotics represents a dynamic convergence of disciplines that underpins modern technological innovation. At its core, control engineering ...

Humanoid robots are getting better at catching themselves before they fall. Researchers at Georgia ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and shifting robot service further from reactive to preventative.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Locomotion through rolling is attractive compared to other forms of locomotion thanks to uniform designs, high degree of mobility, dynamic stability, and self-recovery from collision. Despite previous ...

Google DeepMind on Tuesday released a new language model called Gemini Robotics On-Device that can run tasks locally on robots without requiring an internet connection. Building on the company’s ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...

AI vs robotics highlights the essential difference between intelligence and physical automation. Artificial intelligence interprets data, predicts patterns, and performs cognitive tasks such as image ...

Merging AI robot control and wireless networks... Presenting an impactful vision enabling short- and long-term revenue growth by evolving beyond a simple network equipment supplier into an integrated ...