New research helps robots combine language and gestures to find objects in cluttered spaces, improving how they understand human intent.

Visual grounding and language comprehension in robotics represent a rapidly evolving interdisciplinary field that integrates computer vision, natural language processing and robotic control systems.

POMDP, an AI framework inspired by dogs that allows robots to use human gestures and language to find objects with 89% accuracy.

Whether in the kitchen or on a workshop floor, robot assistants that can fetch items for people could be extremely useful.

A robot that can locate lost items on command, the latest development at the Technical University of Munich (TUM), combines knowledge from the internet with a spatial map of its surroundings to ...

A search robot developed by researchers in Germany can reportedly track missing objects in ...

As generative AI tools like ChatGPT capture global attention, a new frontier is emerging—physical AI, or artificial intelligence that can interact with the real world. While large language models are ...

Google’s Gemini Robotics with vision-language-action models and AutoRT system for controlling robot swarms positions it as a leading physical AI play trading at 27.1x forward P/E. Blue-collar ...

Mark Cuban offered his view of the future of AI and robotics during an appearance this week with the All-In podcast: MARK CUBAN: So, I’ve got two kids in college, and what I tell them is: if you’re ...