Social Robotics

Social robotics aims to create robots capable of natural and effective interaction with humans, focusing on improving human-robot communication and collaboration. Current research emphasizes developing robots that can understand and respond appropriately to human emotions, navigate social spaces safely, and assist in tasks such as therapy and elderly care, often employing reinforcement learning, deep learning models (including convolutional neural networks and LLMs), and advanced navigation algorithms. This field is significant for its potential to improve human well-being across various domains, from healthcare and education to personal assistance, while also raising important ethical considerations regarding bias, trust, and appropriate social behavior in robotic systems.