Especially within the past decade self-governing systems have developed at highest pace. When we think about autonomous, we mainly focus on structures which perform repetitive tasks in manufacturing processes. Robots help production increase dramatically by raising productivity in key manufacturing sectors.
Since the 1980’s when robotics was introduced largely in factories, we have been thinking of robots as doing specific, repetitive and restrictive tasks with high efficiency. Since 2005 however the robots’ autonomy has developed incrementally due in part to the embedded artificial intelligence. Until 2025 the amount spent on robotics is estimated to reach $67 billion which represents 6 times more compared to 2005.
The self-governing systems currently exist in four mediums: water, air, land and digital environments and comprise five types: drones, robotics, vehicles, agents and appliances. The latest AI driven autonomous systems change the user behavior and business models on top of the productivity in the sectors they are utilized. This occurs due to the new tasks, the addition of processes and human actions stimulated by AI development and incorporated in the latest models. The future autonomous systems could present incremental models based on the augmentation of progressive human actions.
While in operation, the devices could present different self-governing capabilities from a drone in the air remotely operated by a human to a fully autonomous factory robot. In the process of building AI-based autonomous devices, their production costs decrease. Therefore, various parts otherwise costly would become more efficient to incorporate allowing for the creation of more complex and sophisticated robotics systems. Since robots can be generated embedding smart devices such as motion sensors, speech and image recognition, machine vision they would be able to perform more advanced work while learning from the environment and from humans.
Developing more efficient robots, they become more flexible, precise and complex thus broadening their use in numerous applications: transportation, nursing, health care. In the near future, these autonomous systems, despite some advanced developments, will still perform within the narrow application range and missing human traits including decision making, general learning and human wit.
Cory Popescu, SIP Writers’ Forum