1 School of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, China. 2 Faculty of Telecommunication, Engineering and Space Technology, Future University, Khartoum, ...

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 ...

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.

Prefer Newsweek on Google to see more of our trusted coverage when you search. TikTok has reached a deal that will allow it to keep operating in the United States, with a majority American-owned joint ...

Abstract: This letter addresses the challenging problem of Semi-Constrained End-Effector Path Planning for robotic manipulators. This problem arises when complex specifications restrict the ...

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the ...