WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

The company is positioning this approach as a turning point for robotics, comparable to what large generative models have done for text and images.

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Cowork is a user-friendly version of Anthropic’s Claude Code AI-powered tool that’s built for file management and basic ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

Abstract: Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed ...

Roomba once looked like the future. Its maker, iRobot, filled American homes with small but affordable robots that helped keep households clean and cats endlessly occupied. But iRobot has now filed ...

Abstract: Mobile robot navigation involves guiding a robot from one location to another, a complex task requiring the integration of various components. Reinforcement learning (RL) has emerged as a ...

┌─────────────────────────────────┐ │ ProcessCube Engine │ (Workflow Engine) │ (BPMN ...

Deployment of robots into hazardous environments typically involves a “human–robot teaming” (HRT) paradigm, in which a human supervisor interacts with a remotely operating robot inside the hazardous ...

What's the stance for backporting some of the changes for other major Robot Framework version? I see there is this change #4983 which fixes compability issues with Robot Framework <> Python 3.14.