Hallo stemian lovers meet again with me @aripratama in steemit this time I will discuss about MIUI
Hello MIUI Fans,
Greetings from MIUI Global Forum. How are you all? Welcome back to Tech Talk Series. In these series, we will bring you some tech-related topics which will help you to enlarge your tech-related knowledge. Today we will talk about Robotics. Robotic technology has a large number of applications i.e. Google Autonomous Vehicle. But making a Robot workable is the toughest task. It requires specific programming so that the robot can workable with human instructions. Do you know a Robot can control with brainwaves and hand gestures? Let's know in details
Recently a group of researchers from MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a way to control robots more intuitively, using hand gestures and brainwaves. They spearheaded a new system which aims to do exactly that, users can correct the robot mistakes instantly using brain signal and the flick of a finger.
The researchers' team of MIT, did one trail on to control a robot using brain signal and hand gesture. They have used Rethink Robotics "Baxter" robot in that trail to move a power drill to one of three possible targets on the body of a mock plane. In the trail, a user wears an EEG (Electroencephalography) cap in his head to detect brain signals and EMG (Electromyography) electrodes in the right hand to detect muscle signals. There, Brain signals are processed to detect ERP (error related potentials) which will generate unconsciously when observing a mistake. Muscle signals are processed left or right gestures to select the correct target.
While processing, it is checking for mistake detection. When there is no mistake is detected, the robot operates autonomously. When a mistake is detected the robot will ask for help using brain signals. The gestures are used to select the correct target. If the system misses a mistake, the person can intervene using the gesture. The system is also plug and play, so new users can control the robot without retraining the system. Plug and Play supervisory control using muscle and brain signals for real-time gesture and error detection.
The project's lead author, Joseph DelPreto, said that the invention is particularly important because unlike traditional robotic management, users do not need to think in a prescribed way. "The machine adapts to you, and not the other way around," he said, adding that the system "makes communicating with a robot more like communicating with another person."
Ability to control robots using brain signal and hand gesture will open up new possibilities for how human workers could manage teams of robots. The elderly or language disorder workers or limited mobility could use the advantages in the longer term.
As project supervisor, Daniela Rus said, "We'd like to move away from a world where people have to adapt to the constraints of machines."
This approach indicates the possibility to develop robotic systems that are a more natural and intuitive extension of us. That's all about today. We will come to you with another topic of Tech Talk in another day. Till then stay tuned with us.
Thanks to our Admin @miuiermichael for his continuous support and supervision to me.
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