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 between simulation and ...

Trener Robotics’ Acteris platform replaces rigid procedural coding with pre-trained Physical AI skills, letting operators describe robotic tasks in their own words, turning conversational input into ...

Anders Billesø Beck, VP of innovation and strategy at UR (Universal Robots), discusses five AI-powered robotic applications that use physical intelligence models to interact with their environment. UR ...

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...

Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

In the past decade, Artificial Intelligence and Machine Learning have moved from the pages of research papers into everyday life. AI powers voice assistants, recommendation engines, self-driving cars, ...

Marc Raibert, the founder of Boston Dynamics, gave the world a menagerie of two- and four-legged machines capable of jaw-dropping parkour, infectious dance routines, and industrious shelf stacking.