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 ...

We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Venkata Devarakonda bridges engineering and commerce, leveraging patented electrical innovations and value engineering to ...

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.

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

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 ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Software-defined radio is transforming test and measurement by replacing rigid hardware with adaptable software, enabling ...

This visualization shows moderately large pressure fluctuations within a 35-trillion-grid-point turbulence simulation, ...