Introduction Swarm robotics is a field of robotics that focuses on the coordination of multiple autonomous robots working together to complete a task. Inspired by the behavior of social organisms like ants, bees, or flocks of birds, swarm robotics leverages decentralized systems where each robot performs a simple task but contributes to the overall objective.…
Introduction Deep Reinforcement Learning (DRL) is a subset of machine learning where an agent learns to make decisions by interacting with its environment, receiving feedback through rewards or penalties, and optimizing its actions to maximize long-term rewards. In robotics, DRL has shown tremendous potential in enabling machines to learn complex tasks autonomously, with minimal human…
Introduction In deep learning, data is often represented in multidimensional structures known as tensors. These high-dimensional data structures arise in various applications, including computer vision, natural language processing, and recommendation systems. Tensor decomposition is a powerful mathematical tool used to break down these high-dimensional tensors into lower-dimensional components, facilitating better analysis and efficient computations. At…