{"id":3137,"date":"2020-09-08T08:39:37","date_gmt":"2020-09-08T08:39:37","guid":{"rendered":"https:\/\/futurecities.iaac.net\/expo2020\/?page_id=3137"},"modified":"2020-09-08T08:39:37","modified_gmt":"2020-09-08T08:39:37","slug":"voice-control-and-augmented-feedback-for-robots","status":"publish","type":"page","link":"https:\/\/futurecities.iaac.net\/expo2020\/voice-control-and-augmented-feedback-for-robots\/","title":{"rendered":"Voice Control And Augmented Feedback For Robots"},"content":{"rendered":"
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Voice Control And Augmented Feedback For Robots<\/h1>\t\t\t\t\t
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MRAC 2019\/2020<\/h6><\/div><\/div><\/div><\/div>
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Faculty: Angel Monuz, Agustina Palazzo<\/h1><\/div><\/div><\/div><\/div>
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Students: Muhammad Mansoor Awais, Maria Isabel Cousseau, Amit Pattar<\/h1>\t\t\t\t\t
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Speech recognition market is prospected to grow 19.8% from 2018 until 2024. Market grown can be attributed to high potential in every area, specially in healthcare, in-car systems, military, smartphones, etc. This project is completed in 5 phases. In first phase the speech is converted to text for commands. In the second phase robot is moved with ros commands from robot operating system. Then robot movement is again translated in rhino environment for augmented feedback through fologram which can help on construction site to visualize the path ways of robots. It will increase the efficiency of logistics when workers are able to avoid the robot paths.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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Speech recognition is less used in construction sites. The proposed research can open up new opportunities, like it allows people in construction site to control a robot by voice.<\/span><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>