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 ...

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

MOSKopt_Python is a Python implementation of the MOSKopt (Simulation-Based Stochastic Kriging Optimization framework), designed for chemical process optimization under uncertainty. This implementation ...

Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

Few scientific ideas have leapt from philosophy seminars to dinner-table debates as quickly as the claim that our universe might be an artificial construct. The simulation hypothesis promises a ...

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 ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Abstract: Design of EV charger design is a most demanding and challenging aspect in the current power electronic industry. Lithium batteries are the best suited for battery vehicles. Onboard charger ...

Optimizing Your LinkedIn Profile for Element Materials Technology So, you’re looking to make a splash at Element ...