Browsing: robotics

Physical AI systems require culturally representative datasets to achieve global generalization, moving beyond the limitations of U.S.-centric training models.

The new Daimon-TWM architecture enables robots to interpret physical interactions through tactile-grounded data, addressing critical limitations in traditional visual-only manipulation.

New research from JMIR Publications examines the limitations of bedside nursing robotics and the growing threat of AI-generated physician impersonation.

The Toronto-based startup leverages self-supervised vision transformers to automate grip selection in bionic prosthetics through real-time environmental inference.

MIT researchers introduce a trajectory-optimization framework that allows generative models to satisfy strict safety requirements without sacrificing output quality.

The new facility aims to bridge the gap between theoretical machine learning research and the rigorous demands of large-scale industrial manufacturing environments.

The new multimodal world model from World Labs utilizes autoregressive diffusion to enable precise 3D scene reconstruction and robotics simulation.

NVIDIA transitions its high-performance autonomous driving model to a commercial license, enabling developers to integrate advanced reasoning and trajectory generation into proprietary vehicle systems.

FedEx and Amazon are deploying advanced robotic manipulation systems to solve high-entropy challenges in automated package handling and trailer loading.

A national initiative combines precision manufacturing with accelerated computing to deploy autonomous agents and digital twins across factory and transport systems.