Path planning lies at the core of autonomous robotics, enabling robots to navigate complex environments safely and efficiently. Broadly, algorithms fall into two categories: global planning, which ...

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.

Researchers at the University of Kent, UK, introduced LiteRBS (Lightweight and Rapid Bidirectional Search), a novel grid-based pathfinding algorithm designed for efficient and scalable navigation in ...