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 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.

Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract ...

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

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow ...

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 ...

Advances in supercomputing have made solving a long‐standing astronomical conundrum possible: How can we explain the changes in the chemical composition at the surface of red giant stars as they ...

GNSS/INS simulators can model dynamic motion far beyond what any real vehicle will experience. They can produce accelerations that would crush airframes, much less pilots, and simulate speeds that no ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

As cities push to cut carbon emissions, buildings are under growing pressure to use ...