The Infinite Loop by Nebius reports robots like Digit are learning to work in warehouses, balancing safety and AI for future ...

Researchers have proposed a novel active equalization scheme for lithium-ion batteries that uses path planning to address ...

Robotic systems are transforming image-guided interventions by enhancing accuracy and minimizing radiation exposure. A significant challenge in robotic assistance lies in surgical path 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.

Abstract: The ability of efficient path planning and obstacle avoidance is a key requirement for mobile robots in most real-world applications. This paper presents a novel Bug-based path-planning ...

During the winter months, the time you will be spending outdoors to tend to your garden or home landscape will probably be greatly reduced. Take advantage of this upcoming “rest” period and develop a ...

Imagine a robot that doesn’t just follow commands but actually plans its actions, adjusts its movements on the go, and learns from feedback—much like a human would. This may sound like a far-fetched ...

Abstract: Path planning is fundamental for controlling orthopedic robots and vital in ensuring surgical safety. To address the problem of low path-planning efficiency in traditional path planning ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...