From student-built machines to advanced research prototypes, robotics competitions demand a blend of smart algorithms, precise motion control, and efficient design. Teams integrate proven path ...

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.

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

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 ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: To address the issues of low search efficiency, rough paths, and insufficient computational efficiency in the RRT algorithm, this paper proposes a gravity-guided RRT-Connect path planning ...

Flat vector illustration created from hand drawn doodles and textures depicting different people using wireless technology. Ever wondered how social media platforms decide how to fill our feeds? They ...

The Doosan robot is equipped with sensors to detect obstacles in its environment. This project leverages the RRT* algorithm to generate an optimal path from a start point to a goal point while ...