The achievement marks Rand SIM’s advanced technical expertise and an ongoing commitment to helping organizations achieve ...

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 ...

A new approach integrates machine learning and mobility to extend the life of wireless groundwater sensors, improving energy efficiency in urban monitoring.

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.

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...

As the Department of Defense pushes for greater AI integration, researchers said the top models chose the nuclear option in ...

Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...

Zeb Rocklin does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...