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From human-centered design to robotic imagination, explore the ideas and innovations driving artificial intelligence and robotics today.
We have been exploring the growth opportunities and added value that artificial intelligence and robotics can bring to people's lives, whether at home or in the workplace. While there has been tremendous growth, what further breakthroughs do we need to drive true mass adoption?
Although computers have been around as early as the 1930s , but it would be 50 years before computers became accessible with the advent of the graphical user interface, which launched the multi-trillion dollar industry we know today. Likewise, focusing on the availability of AI and robotics is key to driving adoption.
In industrial settings, there is an increasing focus on user-friendly robots that do not require a high level of expertise to operate. For example, many software companies are solving this problem with their platforms, which make it easy to set up autonomous robotic applications with minimal positioning and little to no manual programming. At the same time, it integrates hundreds of industrial robot brands and allows operators to manage them using a simple flowchart-style visual programming interface.
The use of these technologies is increasing, and global artificial intelligence software revenue is forecast to grow by 21.3% in 2022, reaching a market size of US$62.5 billion.
Current machine learning techniques are being used to teach robots specific tasks, but they are rigid and do not handle change well . For a future where smart robots can handle more jobs, robots need to understand their surroundings and environment.
Living robots must be able to augment human capabilities and potential, being able to explore, evaluate, experiment and expand what it already knows when we encounter unknown problems.
At the 2022 AIBotics conference, researchers from the National University of Singapore and Johns Hopkins University present a new framework that helps robots understand the affordances of things, rather than their appearance .
They successfully taught the robot the purpose of a chair for comfort and how to prepare a chair for a person to sit comfortably in. This approach, called "robotic imagination," could make home robots smarter and better at solving problems autonomously. Many societies around the world are facing rapid aging of their populations, raising concerns about slowing economic growth and social issues such as mobility and social participation. Some governments are looking to technology to solve these problems, working with private companies and academics to redesign cities and societies of the future.
The government is partnering with Japanese carmaker Toyota to build WeavingCity, an experimental city with 360 residents, most of whom are elderly. The project will test automated mobility innovations and smart home developments, including underground parcel delivery and waste disposal systems.
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