In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

Abstract: This project presents a MATLAB-based simulation framework for antenna array design, integrating ray-tracing methods, steering vectors, and individual element patterns for real-world ...

A new paper outlines a unified, simulation-first pipeline that validates a lightweight, 3D printed 14 DOF humanoid before any plastic touches a heated bed.

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

Systems are developing an integration for data exchange between Catia V6 and CONTACT’s PLM system CIM Database, enabling companies to link their system landscape. The integration enables designers to ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

ABB has introduced significant advancements to the power simulation models for its ABB UNITROL 1000 Automatic Voltage Regulators (AVR).

Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...

ROCK ISLAND ARSENAL, Illinois - First Army’s Operational Data Team has developed a groundbreaking simulation capability that ...

Agentic world models are aiding the advancement of AI in mental health. Embodiment and psychological grounding come to the fore. An AI Insider scoop.

Nvidia has released DreamDojo, an open-source world model trained on 44,000 hours of human video that lets robots learn ...