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