New embodied AI world model predicts action outcomes in real time, improving robot reasoning, control, and adaptation in ...

Robotics researchers often spend weeks, or even months, simply getting a new robot up and running before they can begin ...

Researchers in the Carnegie Mellon University School of Computer Science have developed an open-source software framework designed to make it easier to deploy AI systems across different robots ...

Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

I welcome the day when AI can Engineer software better than I can. But it ain't gonna happen soon. Sure, currently it can set up the framework and other rote programming tasks, and is a great tool ...

Nvidia just built a system that lets AI agents walk into a robot lab and figure out how to teach the robots themselves. No human hand-holding, no step-by-step programming. Just coding agents, robotic ...

What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure ...

These nine robots help make employees' jobs safer and more productive by handling physically demanding tasks, freeing up time for skilled technical roles. The goal of robotics technology within Amazon ...

Abstract: This paper presents a cooperative control framework for dual-arm robots that integrates vision-language models (VLMs) with online reinforcement learning (RL) to enhance autonomy and ...

Abstract: Despite the rise of robotics and automation in industrial applications, the widespread adoption of collaborative robotics still needs to be improved due to the lack of interoperability ...