What does it mean when a company decides that the next twelve months will define its future? For Tesla’s AI teams, it’s no ...

The BrainBody-LLM algorithm mimics how the human brain and body communicate during movement. It has two main components: the ...

Future space activities will increasingly depend on autonomous systems that can construct, maintain, and expand infrastructure long before, and long after, ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

The artificial intelligence robots market is being shaped by a select group of established industrial and electronics giants ...

Abstract: This paper explores the design and development of a language-based interface for dynamic mission programming of autonomous underwater vehicles (AUVs). The proposed 'Word2Wave' (W2W) ...

When an engineer chooses a single weld in the CAD file, the software automatically generates multiple lines of programming ...

Kinematics, trajectectory planning and control library, and robot programming (script) language of robotic arms. It depends on Eigen3, pybind11, and ros. It fits into the framework of ros, and can be ...

The increasing integration of artificial intelligence and distributed computing into robotics is reshaping how autonomous systems operate, collaborate, and ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap ...

Anthropic tested how its AI model Claude could help non-experts operate a robot dog during an internal trial called Project Fetch. The company split eight researchers with no robotics background into ...