The robot gradually took over Dirty, dull, and repetitive and dangerous work that was originally handled by humans. But even if the robot revolution is about to take place, it will be the nature of the work rather than the disappearance of work. In the foreseeable future, the areas of work that rely on human characteristics will not be threatened, and new job opportunities will be created.
According to the website, due to the population growth and the popularity of the connected network, manufacturers have great demand for solutions that can produce more products more quickly and at low cost. The essence of Industry 4.0 includes automation, cloud computing, decentralized decision making, the Internet of Things, and interoperability that make plants run smarter and more efficient.
As factory automation continues to grow, the International Robotics Society (IFR) estimates that more than 1.4 million new robots will be installed in global factories in 2019, and that the future manufacturing industry will most likely be the first to face a fully automated industry.
Robots cannot replace humans in areas such as creativity, emotion, human contact, and social intelligence, such as advising, arts, criTIcalthinking, customisaTIon, etc. Dedicated customer service, design, empathy, and sympathy are human characteristics that are difficult to produce or interpret through the machine and cannot be fully integrated into robotics in the short term.
Computers are very good at presenting facts, figures, measurements, numbers, patterns, data and charts. Machine learning is particularly good for supervised learning. Other great advantages include handling big data, highlighting flaws, showing new ways of thinking, and helping all stakeholders become smarter companies. Therefore, machine learning does not replace humans with robots in practical applications, but combines common sense and measurement intelligence that humans are good at.
According to AssociaTIonforSafeInternaTIonalRoadTravel, as many as 1.3 million people die each year from road accidents. Therefore, one of the main design concepts for self-driving is safety considerations. The development of self-driving cars is a cycle of evolution. It will innovate the concept of transportation and reshape the modes of transport. This is not a simple matter, and it must be coordinated with elements such as vehicles, infrastructure and maps. Self-driving cars will also change the concept of time management and give traffic time a new meaning in global management and productivity. When the vehicle is running in autonomous mode, people can use commuting time to do things such as education, leisure or productivity. In addition, advertising and e-commerce will also become new activities on self-driving cars. The functions provided by self-driving cars will create new business opportunities, such as geographic information system (GIS).
In the next few decades, functions such as automatic parking, brake assist, high temperature detection, lane detection, night vision, pedestrian perception, road number detection, tire and seat warning will be gradually equipped with self-driving cars.
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