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Almost Human: Making Robots Think

Jese Leos
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Published in Lee Gutkind
6 min read
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Robots have always fascinated humans, from their ability to perform repetitive tasks with utmost precision to their potential role in transforming industries. However, for a long time, robots lacked the ability to truly "think" like humans. They were limited to executing pre-programmed instructions and struggled to adapt to changing environments.

But now, a new era is dawning – an era where robots are becoming almost human, capable of understanding, learning, and adapting to their surroundings. This revolution in robotics is driven by advancements in artificial intelligence (AI) and machine learning algorithms.

The Power of Artificial Intelligence in Robotics

Artificial intelligence, commonly known as AI, refers to the simulation of human intelligence in machines. It enables robots to analyze and understand their environment, make decisions based on the information received, and even learn from their experiences.

Almost Human: Making Robots Think
Almost Human: Making Robots Think
by Lee Gutkind(Illustrated Edition, Kindle Edition)

4.2 out of 5

Language : English
File size : 708 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Word Wise : Enabled
Print length : 299 pages
Screen Reader : Supported

With AI, robots can perceive the world around them using sensors such as cameras, lidar, and infrared, just like our own senses. They can process and interpret this sensory information, allowing them to navigate obstacles, recognize objects, and interact with their surroundings.

Moreover, by leveraging machine learning algorithms, robots can continuously improve their performance. They can identify patterns, detect anomalies, and optimize their actions based on the feedback received. This adaptive capability makes them more efficient and effective at various tasks.

The Evolution of Robotics: From Pre-Programmed to Autonomous

Traditionally, robots were programmed with a fixed set of instructions, limiting their abilities to perform specific tasks. They were incapable of responding to unexpected scenarios or learning from new experiences.

However, the integration of AI and machine learning has transformed the robotics landscape. Robots can now learn from their interactions with the environment, adapt to changing circumstances, and make intelligent decisions on their own.

For instance, autonomous vehicles are equipped with AI systems that analyze road conditions, predict obstacles, and control the vehicle accordingly. These systems continuously learn from the data gathered during the vehicle's operations, making them safer and more reliable over time.

The Rise of Deep Learning and Neural Networks

Deep learning, a subset of machine learning, has emerged as a game-changer in robotics. It involves training neural networks with multiple layers to recognize patterns and make sense of complex data.

By using deep learning algorithms, robots can process vast amounts of data, such as images, speech, and sensor readings, to gain insights and make informed decisions. This ability is crucial for tasks like object recognition, natural language processing, and predictive modeling.

Deep learning has unlocked possibilities for robots to understand and interpret the world in ways previously deemed impossible. It has paved the way for advancements in areas like healthcare, manufacturing, and even space exploration.

Implications and Challenges of Human-like Robots

While the progress in making robots think like humans is undoubtedly fascinating, it also raises several implications and challenges.

Firstly, the ethical considerations surrounding AI and robotics become more critical as robots become more autonomous. Ensuring the responsible development and deployment of AI systems is essential to prevent potential harm or misuse.

Secondly, the impact on the workforce and job market cannot be ignored. As robots become more capable of performing complex tasks, there is a concern that they may replace or displace human workers. However, proponents argue that robotics will create new types of jobs and enhance human capabilities rather than completely replacing them.

Lastly, the development of robots with human-like qualities also raises philosophical questions about the nature of intelligence, consciousness, and what it means to be human. These questions invite a deeper exploration of our own understanding of ourselves and our relationship with technology.

The Future of Almost Human Robots

The path towards creating robots that can truly think like humans is still a work in progress. Researchers and engineers continue to push the boundaries of AI and robotics, striving to develop machines that can reason, plan, and empathize.

As robots become more intelligent and capable, they have the potential to revolutionize various industries, including healthcare, transportation, and manufacturing. They can aid in complex surgeries, provide assistance to individuals with disabilities, and automate repetitive tasks, allowing humans to focus on more creative and strategic endeavors.

However, it is crucial to ensure that the development of almost human robots remains ethical, responsible, and serves the greater good of humanity. Balancing technological advancements with societal considerations will be key in shaping a future where robots and humans coexist harmoniously.

The journey of making robots think like humans is an awe-inspiring endeavor that combines the power of artificial intelligence, machine learning, and deep learning. As these technologies continue to evolve, robots are becoming almost human, with the ability to perceive, understand, learn, and adapt to their environment.

While challenges and considerations persist, the potential benefits of almost human robots are immense. They have the potential to transform industries, improve the quality of life, and push the boundaries of human achievement.

As we embark on this exciting future, it is important to approach the development of almost human robots with caution, ensuring that the ethical implications and societal impact are carefully evaluated. By doing so, we can embrace the immense potential of these advanced machines while navigating the associated challenges.

Almost Human: Making Robots Think
Almost Human: Making Robots Think
by Lee Gutkind(Illustrated Edition, Kindle Edition)

4.2 out of 5

Language : English
File size : 708 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Word Wise : Enabled
Print length : 299 pages
Screen Reader : Supported

A remarkable, intense portrait of the robotic subculture and the challenging quest for robot autonomy.


The high bay at the Robotics Institute at Carnegie Mellon University is alive and hyper night and day with the likes of Hyperion, which traversed the Antarctic, and Zoe, the world’s first robot scientist, now back home. Robot Segways learn to play soccer, while other robots go on treasure hunts or are destined for hospitals and museums. Dozens of cavorting mechanical creatures, along with tangles of wire, tools, and computer innards are scattered haphazardly. All of these zipping and zooming gizmos are controlled by disheveled young men sitting on the floor, folding chairs, or tool cases, or huddled over laptops squinting into displays with manic intensity. Award-winning author Lee Gutkind immersed himself in this frenzied subculture, following these young roboticists and their bold conceptual machines from Pittsburgh to NASA and to the most barren and arid desert on earth. He makes intelligible their discoveries and stumbling points in this lively behind-the-scenes work.

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