production and logistics are based on artificial intelligence

Published August 1, 2022

LARGE’artificial intelligence (AI) represents a large possibilities for the field of roboticsespecially when it comes to managing the variability and unpredictability of the external environment, even in real time, as highlighted by International Federation of Robotics (IFR) in its latest report “Artificial Intelligence in Robotics”.

Artificial intelligence offers more benefits to logistics operators who must manage frequently changing products, pack multiple units, and fulfill orders that vary with market needs and supplies, in so-called “high mix / low volume” (HMLV) environments. The greater the variability and unpredictability of the environment, the greater the likelihood that AI algorithms will provide a quick and cost-effective solution.

“THE cobot they have already become indispensable tools in these production environments, offering flexibility, speed, agility, safety and, of course, human-robot collaboration,” says Enrico Krog Iversen, CEO of OnRobot.
“By applying artificial intelligence to collaborative robots, we will have assistants who will be able to learn which will allow us to optimize the processes and obtain higher quality products”, underlines Enrico Rigotti, Area Sales Manager of OnRobot Italy.

Quality is critical in HMLV environments that require strict application of processes, as handling smaller batches, any changes to the product could cause errors or delays.

Applications of artificial intelligence in the field of robotics

Currently, the IFR distinguishes two types of AI applications in robotics:

  • Sensing and response applications where the robot recognizes and responds in real time to the external environment in a closed loop, such as pick and place applications.
  • Performance optimization, where artificial intelligence improves process development, while the robot optimizes quality, scheduling and maintenance. Artificial intelligence detects defects that may not be visible to the human eye at every stage of the production cycle.

As a result, robotic quality inspection adds value and minimizes scrap by eliminating defective parts from the production line early. meeting.
“In Italy, artificial intelligence is growing, especially in applications where the robot makes a decision and performs an action based on the information it receives mainly from vision systems,” says Rigotti.

Enrico Rigotti, Area Sales Manager of OnRobot Italy

Short and medium term forecasts

Soon, AI and robotics they will come together to perform machine maintenance, recycling, welding, quality control, process optimization and precise application of pesticides and fertilizers in agriculture. We cannot forget the medical tests, such as the measurement of temperature or blood pressure which, in addition to the scan, will also analyze the results of the tests.

“There medicine is a field with great potential for artificial intelligence, where it brings real value. For example, in physiotherapy there are already systems that help patients recover from injuries and, at the same time, collect data on their progress, thus helping the healthcare professional to assess in the most efficient way whether the recovery process is successful. Or, robots are already being used to detect melanomas: they scan the patient’s skin and the resulting image is compared to a database to identify potential cases of skin cancer,” adds Rigotti.

“In ten years we will see artificial intelligence applied to business assembling, producing clothes and harvesting crops in the fields. Artificial intelligence helps to identify the level of ripeness of the fruit or the optimal size to pick it, and thanks to the data, the robot can learn and improve its decision-making process,” concludes Rigotti.

Photo source Pixabay_Rox_buwa

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