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.
The paper “A 1000× Faster LLM-enhanced Algorithm for Path Planning in Large-scale Grid Maps,” published on arXiv by researchers from the National University of Defense Technology in China, presents a ...
Alex Koshulko is a leading supply chain planning expert with over 10 years of experience. Ph.D. CEO and cofounder of GMDH Streamline. I strongly believe that businesses can work more efficiently if ...
According to the environment modeling approach, path planning algorithms of micro-/nanorobots are classified into searching, sampling, and dynamic aspects. The searching path planning algorithms ...
Having worked in the field of future decision making and strategy for many years our team have increasingly recognised the shortcomings of the traditional approach to scenario planning and simulation.
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