The machine, composed of brain and arm sensors, was apparently able to react ‘almost instantly’ to wearers in a laboratory trial
Chinese researchers have created a wearable robot capable of reading the mind and monitoring muscle activity. Developers claim the machine was able to “recognize human intention” with 96% accuracy.
The Intelligent Manufacturing Innovation Technology Centre of China Three Gorges University tested the device with factory workers. They found that they didn’t need to give verbal commands, or use gestures to get a tool or component.
It was noted by the developers that the robot responded. “almost instantly,”The South China Morning Post reports that the South China Morning Post has a method of obtaining the item and then placing it at the station. In the paper, it was stated that the findings of the research team were published in China Mechanical Engineering Journal. For further comments, researchers couldn’t be reached.
Such collaborative robots, or ‘cobots’, could potentially increase assembly line production, the study noted. The study noted that the real-world applications of cobots have remained insufficient since. “their ability to recognize human intention is often inaccurate and unstable.”
To overcome this limitation, project lead scientist Dong Yuanfa explained, his team’s robot was put through “hundreds of hours of training” by eight volunteers. Eight volunteers volunteered to outfit the machines, which combine a noninvasive brain wave detector with arm sensors.
While the headgear apparently understood the volunteers’ intentions with roughly 70% accuracy, the signal from the brain was weak. SCMP says that the workers had to be able to communicate with each other. “concentrate very hard”The robot could be made to move if it was to go a “clear message.”The team stated that most people became too focused on other things after doing repetitive factory tasks for a long time.
However, the electric signals collected from the arms by arm sensors are believed to be a result of the muscle electrical signals. “more stable,”These also lost their strength when the workers became tired. The developers suggested that the robot could use a combination of brain and muscle signals to predict its next move. “unprecedented accuracy,”The SCMP published the following report.
However, the paper noted that it was uncertain whether these results – obtained in a laboratory setting – could be replicated on the factory floor. Although the sensors could be placed inside workers’ hats and uniforms, the researchers suggested that sweat and irregular movements could affect signal quality.
The other option is to send motion and visual data directly to the machine, as they suggested.
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