Explore how industrial robots and service robots are moving beyond factories, expanding into hospitals, homes, and customer ...

Apple Inc.’s lead artificial intelligence researcher for robotics has departed the company to join Meta Platforms Inc.’s ...

Despite advancements in hardware, AI, and machine learning, deploying robots in dynamic, real-world settings—and getting them to do what we want—remains difficult. Cristian-Ioan Vasile, an assistant ...

General Motors Co. worker Annie Ignaczak spent years walking in circles on concrete factory floors, assembling the same parts ...

The system is designed to dismantle batteries in two phases—from battery pack to module and from module to cell level.

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Sunseeker is following a new trend with its budget-priced model L3 robot lawn mower: It eliminates boundary wires by ...

Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

The Jetson AGX Thor Developer Kit signals that Nvidia now intends to also be the default platform for physical AI at the edge ...

CynLr, a foundational technology building company in Robotics and AI, has announced a strategic collaboration with the Indian ...