Bilinguals and multilinguals may stay younger for longer and have more agile brains. This Special Feature shows just how ...

A residual RL policy learns purely in simulation from object-centric state. Then, we add it to a frozen base VLA, and it transfers zero-shot to the real robot. Vision-Language-Action (VLA) models ...

Humanoid robots are increasingly capable of performing complex real-world tasks, but many still struggle with dexterous object manipulation and navigation in dynamic environments. Carnegie Mellon ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI needs to finally reach AGI. To many people, AI manifests one of sci-fi’s ...

The aim of this study is to evaluate the effectiveness of the MIG program in improving fundamental motor skills and achieving functional goals, compared with conventional physiotherapy and ...

How do you build a single vision language action model that can control many different dual arm robots in the real world? LingBot-VLA is Ant Group Robbyant’s new Vision Language Action foundation ...

Dyslexia and dysgraphia are common learning disabilities that significantly impact handwriting and reading abilities, making early diagnosis crucial for effective intervention. Traditional assessment ...

Abstract: Developing a generalist agent capable of performing multiple long-horizon tasks and solving novel ones remains an open challenge in robotic learning. Current imitation learning methods show ...

Abstract: The inherent compliant nature of soft robots can offer remarkable advantages over their rigid counterparts in terms of safety to human users and adaptability in unstructured environments.

Toyota Research Institute (TRI) this week released the results of its study on Large Behavior Models (LBMs) that can be used to train general-purpose robots. The study showed a single LBM can learn ...