Post Thumbnail

Atlas from Boston Dynamics learned to understand the purpose of objects in space

Boston Dynamics engineers demonstrated how their humanoid robot Atlas perceives the surrounding world, and this brings machine interaction with reality to a completely new level. Now this is not just a mechanism with cameras, but real physical intelligence with deep understanding of space and context. Atlas is capable of recognizing object shapes and understanding their purpose in real environment. And its perception system combines 2D and 3D vision, using special key points for precise spatial orientation.

Engineers also taught the robot to track object poses considering their movement and even when they are partially covered by other items. The most impressive achievement is the fusion of visual data, kinematics and object knowledge into a unified comprehensive system. Atlas possesses ultra-precise calibration for coordination between “eyes” and “hands”. This allows the robot not just to find an object, but to truly understand what it is, what it’s intended for and how to best grasp it, even if the object is half-hidden from cameras.

Boston Dynamics’ artificial intelligence team is now working on creating a unified model that will fully combine perception and control. This is a crucial step from simple “spatial artificial intelligence” to full-fledged physical intelligence capable of naturally interacting with our world.

Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.
Latest News
Scientists became more afraid of AI hallucinations

The more scientists work with artificial intelligence, the less they trust it. Academic publisher Wiley released a preliminary report for 2025 on technology's impact on science, and the conclusions there are paradoxical. Researchers began treating neural networks with greater skepticism than a year ago, when the technology was obviously less developed.

New model from DeepSeek recognizes documents cheaply and efficiently

DeepSeek rolled out a new model for document recognition. And you know what? It doesn't just read text from pages - it understands structure. And does this cheaply and efficiently, which is rare in the AI world.

OpenAI officially denied GPT-6 release by end of year

At OpenAI they decided to cool public expectations and confessed: GPT-6 won't happen this year. But don't rush to be upset - this doesn't mean the company is sitting idle.

Father of reinforcement learning predicted end of large language models era

Richard Sutton - this is one of the fathers of reinforcement learning and Turing Award laureate. So he stated that the era of large language models is coming to an end. Next, in his opinion, comes the era of experience. And here's why he thinks so.

Artificial intelligence detects ADHD without questionnaires and doctors

Imagine you could diagnose ADHD simply by how your brain processes flickering letters on a screen. No questionnaires, no months of waiting for an appointment with a specialist. AI looks at your visual rhythms and gives a verdict with 92% accuracy. Sounds like science fiction? But this is already reality.