Scientists from Germany and Switzerland demonstrated the soft hugging robot HuggieBot 2.0 earlier this year, while Samsung unveiled the multipurpose housewife robot Bot Handy. As the coronavirus epidemic spread, similar stories started to surface more often.
Despite encouraging developments in the field of robotics, it is still challenging to forecast where and how far robots will proliferate. We provide you with an outline of the trends in robotics over the ensuing twenty years.
What is the benefit of a home robot? Samsung recently made an attempt to address this issue: the Bot Handy robot, which was shown in January, has the ability to offer a glass of wine, put laundry into a washing machine, and serve the table. This is not the first try, though.
Toyota showed out a Human Support Robot in 2017 that could unlock doors and get a bottle of water for isolated handicapped individuals. The American robot Aeolus, which can clean floors, was unveiled in 2018.
Robotics By 2029
The most promising robots for companionship by the middle of the 2030s. A household robot will undoubtedly do a variety of tasks. They’ll just take up room. It’s simpler when everything is in one place, as when our robot plays with children in the morning and the afternoon, then helps our parents by acting as their psychologist before washing and ironing their clothing in the evening.
The creation of “smart” robots today is based on “weak” artificial intelligence and is intended to solve particular challenges (intelligent systems). The goal of developing “strong” artificial intelligence that is on par with the human intellect (human-like intelligence) is still on the agenda.
The Blue Brain project was started in Switzerland in the middle of the 2000s with the goal of simulating brain activity on the IBM Blue Gene / Q supercomputer. However, its strength was only sufficient to duplicate certain regions of the rat brain. Quantum computers, still under development, will be needed to simulate the human brain.
According to current projections, assuming the rate of expansion in capacity in the digital world keeps up, we will have “strong” AI by 2029. However, there has been a rising realization that neural network architecture is more important than processing power in recent years.
Neural networks are achieving scientific achievements even on modern machines. The major finding of a research released at the beginning of this year by the Max Planck Institute for Human Development (Germany) seems like a sentence: having produced computers with intellect comparable to that of humans, one would ultimately lose control over them.