The Digital transformation of all industries continues to grow, creating more opportunities for enterprises to experience the benefits of a digital work environment. This is particularly true for the manufacturing industry, where advances in robotics technology are paving the way for a more efficient future.
There are five robot trends shaping the manufacturing industry in 2021:
More intelligent robots with the help of artificial intelligence (AI)
As robots become increasingly intelligent, their efficiency level also improves, and the number of tasks per unit also increases. Many robots with artificial intelligence capabilities can learn about processes and tasks, collect data, and improve actions during execution. These smarter versions can even have the feature of "self-healing", allowing machines to identify internal problems and self repair without the need for human intervention.
These improved levels of artificial intelligence allow us to glimpse the future of the industrial industry and have the potential to increase robot labor in work, learning, and problem-solving like human employees.
Putting the environment first
Organizations at all levels have begun to prioritize the impact of their daily practices on the environment, which is reflected in the type of technology they adopt.
Robots in 2021 will focus on the environment because the company hopes to reduce its Carbon footprint, improve processes and increase profits. Modern robots can reduce the use of overall resources because they can produce work that is more accurate and precise, thereby eliminating Human error and additional materials used to correct errors.
Robots can also assist in the production of renewable energy equipment, providing opportunities for external organizations to improve energy consumption.
Cultivate human-machine collaboration
Although automation continues to improve various aspects of the manufacturing process, the increase in human-machine collaboration will continue in 2022.
Let robots and humans work in Shared space, providing greater synergy when performing tasks, and Robot learning responds to human actions in real time. This safe coexistence can be seen in environments where humans may need to bring new materials to machines, change their programs, or check the operation of new systems.
The combination method also allows for more flexible factory processes, allowing robots to complete monotonous and repetitive tasks, and allowing humans to provide necessary improvisation and change.
More intelligent robots are also safer for humans. These robots can sense when humans are nearby and adjust their routes accordingly or take action to prevent collisions or other safety hazards.
The Diversity of Robot Technology
Robots in 2021 lack a sense of unity. On the contrary, they adopted a series of designs and materials to best suit their purposes.
Engineers are breaking through the limits of existing products in the market to create more streamlined designs that are smaller, lighter, and more flexible than their predecessors. These streamlined frameworks also adopt cutting-edge intelligent technology, which can be easily programmed and optimized to achieve human-computer interaction. Using fewer materials per unit also helps to lower the bottom line and increase overall production costs.
Robots entering new markets
The industrial sector has always been an early adopter of technology. However, the productivity provided by robots continues to improve, and many other industries have adopted exciting new solutions.
Intelligent factories are disrupting traditional production lines, while food and beverage, textile, and plastic manufacturing have seen robotics and automation become the norm.
This can be seen in all areas of the development process, from advanced robots extracting baked goods from pallets and placing randomly oriented food into packaging, to monitoring accurate color tones as part of textile quality control.
With the widespread adoption of clouds and the ability to run remotely, traditional manufacturing facilities will soon become productivity centers, thanks to the influence of intuitive robotics technology.