They learn like humans, by observing.
Imagine a humanoid robot that not only walks and talks, but also folds bags, closes snack packages and performs delicate tasks with surgical precision, not long ago this seemed like something out of a movie, now it has become a reality, thanks to advanced artificial intelligence models developed by Google Deep Mind, humanoid robots are reaching a new level of skill spatial understanding and independent reasoning and the most impressive thing is that they do not need to be programmed for each movement, they learn like humans by observing and adapting to the environment.
What are the limits and how far can this technology go?
For a robot to be truly useful on a daily basis, it must master three essential elements: generalization, the ability to understand new situations and react intelligently; interactivity: interpret commands and respond fluidly and naturally and dexterity: perform delicate and complex movements with precision.
Deep Mind's Gemini Robotics technology brings together all these qualities, combining vision, language and action so that robots understand the environment, respond to commands naturally and perform motor tasks with a level of precision that according to Google has never been seen, this means that humanoid robots can now manipulate fragile objects, close packages, even fold bags like an experienced store employee and it doesn't stop there, the new version called Gemini Robotics ER takes robotics to another level with built-in reasoning.
Allowing robots to have spatial awareness, adapt their movements in real time and plan actions autonomously.
Application areas of this robot.
The applications of this technology are enormous, it can transform various industries such as automation of household tasks; Here robots help in daily tasks preparing food and organizing spaces.
In the industrial and logistics area; In this sector, humanoids will be handling fragile goods with the same skill as a human worker.
In the health and care area, robots will be assisting surgeons in delicate operations and caring for elderly patients.
Google is already collaborating with large companies such as Boston Dynamics and Agility Robotics and early tests show that this technology can double the efficiency of humanoid robots allowing them to perform tasks that were previously unthinkable, but this evolution brings challenges.
To what extent can a robot make autonomous decisions and how to ensure they are safe and ethical?
Google Deep Mind is already testing security protocols based on Isaac Asimov's famous three laws of robotics:
One, a robot cannot harm a human being, nor by inaction allow a human being to come to harm.
Two, a robot must obey orders given by humans except if these orders conflict with the first law.
Three, a robot must protect its own existence, as long as this protection does not conflict with the first or second law.
These laws laid the foundation for many discussions on ethics and artificial intelligence, in Isaac Asimov's books they do not always work as expected which leads to interesting moral dilemmas and paradoxes, later he also introduced the zeroth law which states a robot cannot cause harm to humanity nor through inaction allow humanity to suffer any.
This law was created so that robots could make decisions that benefit humanity as a whole, even if that meant harming an individual. In the real world this involves developing security systems so that the robots of the future can operate in a safe, adaptable and aligned way with human values.
