Engineers currely working on Google’s DeepMind project announced the developme of artificial ielligence-based robotic hands.
One of them is called ALOHA Unleashed and the other is DemoStart, which is developed to enhance the capabilities of robotic hands that have multiple fingers, jois or sensors.
Most robotic hands that are built to pick up and move objects operate on their own without a second hand to assist them. In this new effort, the research team used artificial ielligence technology to teach a robot to use both hands to perform a difficult task, such as tying a shoelace. The result of this effort is called ALOHA Unleashed.
This robot is built on the new ALOHA 2 system and the ALOHA platform, which was developed at Stanford University in line with the developme of remote applications. This new system improves dexterity and also allows two robot hands to be aware of each other as they work together on a common problem.
The robotic hands were trained through demonstrations to perform tasks such as hanging up shirts or making repairs. After that, the robotic hands achieved a degree of predictability to predict what their couerpart would do next.
According to this research team, achieving complex skills; Like using fingers, more jois and sensors in robotic hands require a degree of coordination between the two.
In fact, this coordination required the ierveion of artificial ielligence in the learning process; With DemoStart, the team used reinforceme learning; This reinforceme learning involved giving simple tasks to the robotic hand and slowly increasing its difficulty. They found that they could teach a two-fingered robot with multiple jois and sensors to manipulate a Rubik’s cube, tighten a screw, and organize a workspace.
