Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Transitive Robotics is announcing a new major version of Transitive, the open-source framework for full-stack robotics. Version 2.0 adds significant new integrations and features: storage of historic ...

As governments grapple with how to manage the economic fallout of superintelligent machines, OpenAI has released a set of policy proposals outlining the ways wealth and work could be reshaped in an ...

Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real ...

“Code-as-Policy”considers how executable code can complement data-intensive Vision-Language-Action (VLA) methods, yet their effectiveness as autonomous controllers for embodied manipulation remains ...

The releases are milestone builds, not final versions. Spring Boot 4.1.0 and Spring AI 2.0.0 are still in pre-production, meaning enterprise teams should not read this activity as a signal that major ...

Test automation has come a long way from static scripts and rigid frameworks. Today, the focus is shifting toward intelligent, adaptive systems that can recover from failures and optimize themselves.

China has released its first national-level standard framework for humanoid robots and embodied artificial intelligence, according to state broadcaster CCTV. The document, titled the Humanoid Robot ...

Abstract: Modern manufacturing is rapidly shifting toward high-mix, low-volume (HMLV) production, which requires flexible and intuitive robot programming methods. However, conventional approaches such ...

A real-time, cross-platform test execution visualization for Robot Framework powered by DearPyGui. Nothing has such power to broaden the mind as the ability to investigate systematically and truly all ...

Humanoid robots are getting better at catching themselves before they fall. Researchers at Georgia Tech have developed a real-time planning and control framework that significantly improves how ...