University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.

As many as half of all nursing home patients may benefit from respiratory therapy, given rising complexity and common conditions such as COPD, congestive heart failure and other chronic breathing and ...

ABSTRACT: Surrogate-assisted evolutionary algorithms are widely used to solve expensive optimization problems due to their high search efficiency. However, a single model struggles to fit various ...

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.

This project implements three fundamental navigation algorithms used in autonomous robotics, developed as part of my robotics engineering curriculum. The implementation uses ROS 2 (Robot Operating ...

Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

This camper was able to pass the tests but their algorithm didn't perform a swap of the smallest element and the first unsorted element. def selection_sort(items ...

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...

Abstract: Path optimization remains an issue of concern within the domain of the computer science gasoline, and in its use in the fields of robotics, logistics, network routing, or in the autonomous ...