In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
Abstract: Multitask genetic programming (GP) methods have been applied to various domains, such as classification, regression, and combinatorial optimization problems. Most existing multitask GP ...
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