Festo na veletrhu v Hannoveru představí nové bionické projekty: BionicSoftHand, BionicSoftArm a BionicFinWave.
Ať jde o uchopení, držení nebo otočení, nahmatání, psaní nebo zmáčknutí – každý den jako samozřejmost používáme své ruce pro různé úlohy. V tomto ohledu je lidská ruka díky unikátní kombinaci síly, šikovnosti a jemné motoriky opravdovým zázrakem přírody. Co může být přirozenějšího, než vybavení robotů pro kolaborativní pracoviště uchopovačem, který je navržen podle přírodního vzoru a který řeší různé úlohy díky učení se prostřednictvím umělé inteligence? Festo na Hannoverském veletrhu představí pneumatickou robotickou ruku BionicSoftHand. V kombinaci s lehkým pneumatickým robotem BionicSoftArm se jedná o koncept budoucnosti vhodný pro spolupráci člověka a robota.
The BionicSoftHand is pneumatically operated, so that it can interact safely and directly with people. Unlike the human hand, the BionicSoftHand has no bones. Its fingers consist of flexible bellows structures with air chambers. The bellows are enclosed in the fingers by a special 3D textile coat knitted from both, elastic and high-strength threads. With the help of the textile, it is possible to determine exactly where the structure expands and generates power, and where it is prevented from expanding.
This makes it light, flexible, adaptable and sensitive, yet capable of exerting strong forces.
Artificial Intelligence
The learning methods of machines are comparable to those of humans: either in a positive or a negative way - they require a feedback following their actions in order to classify and learn from them. BionicSoftHand uses the method of reinforcement learning.
This means: Instead of imitating a specific action, the hand is merely given a goal. It uses the trial and error method, to achieve its goal. Based on received feedback, it gradually optimises its actions until the task is finally solved successfully.
Specifically, the BionicSoftHand should rotate a 12-sided cube so that a previously defined side points upwards at the end. The necessary movement strategy is taught in a virtual environment with the aid of a digital twin, which is created with the help of data from a depth-sensing camera via computer vision and the algorithms of artificial intelligence.