Abstract: This paper mainly addresses two major issues in the A* algorithm: excessive search points leading to low efficiency and suboptimal path length and number of turns. A new improved algorithm ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

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 is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...

Catastrophic forgetting is a phenomenon in which a neural network, upon learning a new task, struggles to maintain it's performance on previously learned tasks. It is a common challenge in the realm ...

1 Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, Kazakhstan 2 School of Data Science, Fudan University, Shanghai, China Robot path planning is a cornerstone of ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...