Whether we are obsessed with the first comic, attending a college art class, or just hanging around instead of concentrating on a teacher, we have all tried painting. Unless you're one of those who can do a good job, you might give up and move on, wondering how others blend lines together to create products that are both recognizable and beautiful. If you are challenged by illustrations, your rescue may not be in humans, but in robots. A new robotic glove can teach you how to paint by training muscle memory.
Copenhagen Interaction Design student Saurabh Datta developed the gloves in a dissertation, initially as a way to learn to play the piano. If his human hands can't learn, maybe some robot hands can teach them-and no, even though the method of this idea is very similar, the robot hands are not from the robot devil. This robot, called a glove, is called a teacher and can be strapped to your hands and fingers and guide you through specific gestures over and over. If you do enough, your hands will learn how to do it through pure muscle memory.
Obviously, this will not teach you instinct or how to transfer something from your imagination to paper, but at least, in theory, it will teach you the basics-how to make beautiful lines.
It now takes Datta only a week to build the rig. It is not exactly named after the teacher, but rather represents a way in which humans and robots can and do interact while achieving the same goal. Despite showing the potential to learn painting, Data found that most participants didn't like when gloves controlled most of their movements-they struggled with tactile feedback and constantly adjusted their hands to find tactile feedback. More comfortable posture To address comfort issues, Datta recorded the tester's concerns and then adjusted the machine's force feedback to address these issues. This, in turn, helps machines understand the way humans move naturally.
Datta's machine does not suddenly help you create the best DeviantArt page known on the Internet, but this is essentially a proof of concept for the machine we are learning for. You can view the complete project here, including development diagrams and (longer) demo videos.
