In our cutting-edge research lab, we delve into the complex and rapidly evolving field of swarms and autonomy, leveraging the latest advancements in artificial intelligence (AI) to push the boundaries of autonomous systems. 

Our work encompasses a broad spectrum of AI techniques, including motion planning, reinforcement learning, and distributed multi-agent systems. By harnessing the power of data science tools, such as large language models (LLM), neural networks, and more, we aim to develop sophisticated algorithms that enable Autonomous Underwater Vehicles (AUV), Unmanned Surface Vehicles (USV), and drones to operate both independently and collaboratively. 

Our research focuses on creating both homogeneous and heterogeneous systems, designed to perform a myriad of tasks with increased efficiency and adaptability. Through our dedicated efforts, we strive to pioneer innovations that contribute significantly to the fields of autonomy and robotic swarms, ultimately shaping the future of intelligent autonomous systems.