{"id":31178,"date":"2019-10-31T21:39:54","date_gmt":"2019-10-31T18:39:54","guid":{"rendered":"https:\/\/prohoster.info\/blog\/tossingbot-mozhet-hvatat-raznye-predmety-i-brosat-ih-v-kontejner-podobno-cheloveku\/"},"modified":"2019-10-31T21:39:54","modified_gmt":"2019-10-31T18:39:54","slug":"tossingbot-mozhet-hvatat-raznye-predmety-i-brosat-ih-v-kontejner-podobno-cheloveku","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/tossingbot-mozhet-hvatat-raznye-predmety-i-brosat-ih-v-kontejner-podobno-cheloveku","title":{"rendered":"TossingBot puede agarrar diferentes objetos y lanzarlos en un contenedor como lo har\u00eda una persona.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Los desarrolladores de Google, junto con ingenieros del MIT, de la Universidad de Columbia y de la Universidad de Princeton, han creado el brazo rob\u00f3tico TossingBot, capaz de capturar objetos peque\u00f1os seleccionados al azar y lanzarlos a un contenedor.<\/p>\n

\"TossingBot<\/p>\n

Los autores del proyecto comentan que tuvieron que esforzarse mucho para crear el robot. Con un manipulador especial, puede no solo capturar objetos aleatorios, sino tambi\u00e9n lanzarlos con precisi\u00f3n en los contenedores. Se se\u00f1ala que la elecci\u00f3n del objeto presenta ciertas dificultades para llevar a cabo acciones posteriores. Antes de realizar el lanzamiento, el mecanismo debe evaluar la forma y el peso del objeto. Despu\u00e9s de llevar a cabo estas operaciones, la decisi\u00f3n tomada se convierte en acci\u00f3n, lo que resulta en que el objeto capturado se env\u00eda al contenedor. Los investigadores quer\u00edan que TossingBot lanzara los objetos de manera similar a como lo har\u00eda una persona com\u00fan.<\/p>\n

El mecanismo resultante visualmente se asemeja a los brazos rob\u00f3ticos utilizados en las l\u00edneas de ensamblaje de autom\u00f3viles. En funcionamiento, el robot puede doblar el brazo, sacar uno de los objetos de la caja, evaluar su peso y forma, y lanzarlo a uno de los compartimentos del contenedor, que se define como objetivo. Para lograr el resultado deseado, los desarrolladores ense\u00f1aron a TossingBot a escanear los objetos, determinar sus propiedades, seleccionar un objeto al azar y luego capturar el objetivo. Despu\u00e9s, se aplic\u00f3 el aprendizaje autom\u00e1tico para que, con base en los datos recopilados, el brazo mec\u00e1nico pudiera determinar con qu\u00e9 fuerza y por qu\u00e9 trayectoria lanzar el objeto.<\/p>\n

\r\n \"Reproducir\r\n
<\/div>\r\n <\/div><\/center><\/center><\/p>\n

Las pruebas mostraron que el robot logra agarrar un objeto en el 87 % de los casos, mientras que la precisi\u00f3n de los lanzamientos siguientes es del 85 %. Es notable que los ingenieros no pudieron replicar el resultado de precisi\u00f3n de TossingBot al lanzar objetos al contenedor por s\u00ed mismos.<\/p>\n

<\/center><\/p>\n

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\t\t\t\t


\n\t\t\t\t\t\t\t\t<\/center>
\n
Fuente: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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