All the companies, despite their reputation, tend to avoid any kinds of physical labor that can waste time.
In favor of this, scientists from Rutgers University developed an artificial intelligence powered robotic arm that helps packing boxes and to organize them, which result in saving much time, effort, and money.
This full machine learning and artificial intelligence controlled arm are tested beforehand by the scientists, and it proved to be excellently efficient in placing objects after picking them up from a bin into small shipping boxed and arranging them tightly.
The robots that picked up things and dropped them into boxes previously were similar to this arm, except that this robot is extremely helpful in doing all the added difficult tasks.
The researchers developed code and algorithms for this powerful robotic Safety Arm. They used visual information and a natural suction cup that doubles as a finger for pushing objects. The ensuing system will topple objects to urge a fascinating surface for grabbing them.
Moreover, it uses device information to tug objects toward a targeted space and pushes objects along. Throughout these operations, it uses a period observance to sight and avoids potential failures.
“We can easily achieve low-cost, mechanized solutions that are easily deployable. The solution is to make minimal but effective hardware choices and focus on powerful algorithms and software,” said the study’s senior author Kostas Bekris, who works as an associate professor in the Department of Computer Science in the School of Arts and Sciences at Rutgers University-New Brunswick.
At the moment, the arm is only capable of lifting cube-shaped items, but the scientists are looking forward to developing this robot into a more efficient system that will be able to pick up things that come in any shape and size.
This invention also leads a finely laid path into the future where these robots can be used in all kinds of domestic and industrial use, giving humans less of physical work and more of brain-storming and research work.