What happens when multiple AI agents work together to solve complex problems? In this video, we dive into multi-agent systems in deep learning—how they work, why they matter, and how tools like ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...