General Purpose

Research on general-purpose robots aims to create robots capable of performing a wide variety of tasks in diverse, unstructured environments, unlike specialized robots designed for single purposes. Current efforts focus on developing foundation models for robotics, leveraging techniques like large language models and learning-to-optimize approaches to enable robots to handle complex tasks and adapt to new situations, often incorporating elements of explainable AI for improved human-robot interaction. This field is significant because it promises to advance robotics beyond narrow applications, leading to more versatile and adaptable robots for various sectors, including manufacturing, healthcare, and disaster response.