Description: Autonomous systems are advanced technologies that can perform tasks without human intervention, often utilizing artificial intelligence (AI) technologies. These systems are designed to operate independently, making decisions based on data and complex algorithms. They are characterized by their ability to learn and adapt to different environments and situations, allowing them to improve their performance over time. Singularity, a related concept, refers to a point in the future where artificial intelligence will surpass human intelligence, potentially leading to a radical change in society. In the field of robotics, autonomous systems are fundamental for the development of robots that can perform complex tasks, from space exploration to surgery. In the context of the Internet of Things (IoT), these systems enable the interconnection of devices that can communicate and operate autonomously. In Industry 4.0, autonomous systems optimize production and logistics processes. AI simulation and edge computing are technologies that complement autonomous systems, allowing for more efficient real-time data processing. Edge inference and neuromorphic computing are innovative approaches that seek to mimic the functioning of the human brain, enhancing the ability of autonomous systems to learn and adapt to their environment.
History: The concept of autonomous systems has evolved since the 1950s when the first forms of artificial intelligence were developed. Over the years, advancements in robotics, machine learning algorithms, and data processing have enabled the creation of increasingly sophisticated systems. An important milestone was the development of autonomous vehicles in the 1980s, which laid the groundwork for research and application of autonomous systems across various industries.
Uses: Autonomous systems are used in a variety of applications, including autonomous vehicles, delivery drones, manufacturing robots, and environmental monitoring systems. They are also applied in healthcare, where they can assist in surgeries or patient management. In the industrial sector, they optimize production and logistics processes, improving efficiency and reducing costs.
Examples: Examples of autonomous systems include the Waymo autonomous vehicle, which uses AI to navigate without human intervention, and drones like the DJI Phantom, which can perform aerial photography tasks autonomously. In industry, robots like the KUKA LBR iiwa are capable of working alongside humans in manufacturing environments without the need for constant supervision.
