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4. Fourth Generation - Intelligent Robots (2010s): Robots in
this generation are equipped with advanced AI computer
vision and machine learning, enabling them to learn from
experience and adapt to changes in their environment. They
can perform complex tasks such as assisting in medical
surgeries, autonomous navigation and industrial precision
work. Self-driving cars and robotic surgery assistants are
examples of these intelligent robots.

5. Fifth Generation - Advanced AI and Human-like Robots

(2020s and beyond): The latest generation focuses on
robots that can interact with humans in more natural ways,
handle complex and dynamic environments. These robots
use advanced AI, machine learning and natural language
processing. Notable examples include Boston Dynamics’
Atlas robot, which can perform parkour and Sophia the

robot, known for engaging in conversations and expressing
human-like emotions.

ETHICS IN ROBOTS

With the rise of advanced robots and their increasing use in daily life, ethical concerns have
become more prominent. Some of the key issues include:

Robots in everyday life: Robots are becoming part of our daily routines, helping with tasks like
cleaning, cooking and even working in hospitals and schools. While they are mostly helpful,
their increasing presence raises important questions about how they should be used.
Roboethics: Roboethics focuses on the behaviour of robots and the ethical issues they bring.
With advancements in robotics and AI, it’s crucial to consider how these technologies affect
human values, decision-making and equality within society.
Ethical concerns: As robots become more advanced, issues such as privacy, fairness,
accountability and human control require careful attention. Some uses of robots, like armed
drones in the military or robotic body parts in bionics, raise concerns about safety and human
rights. These areas could lead to moral and legal dilemmas if not properly regulated.

Connected robotic systems: Robots can now connect to the internet and work together to
solve problems. In the future, robots may be as common as smartphones, but this raises
concerns about data privacy and security.
Learning robots: Robots with machine learning can adapt to people’s habits and remember
preferences, which raises privacy concerns and questions about control.
Legal challenges: Clear legal frameworks and ethical standards must be established to
prevent potential misuse and to maintain public trust.

The World of Robots: Ethics, Laws and Future
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