{"id":1250,"date":"2023-08-02T02:46:44","date_gmt":"2023-08-02T02:46:44","guid":{"rendered":"https:\/\/mlnews.dev\/?p=1250"},"modified":"2023-09-21T12:09:33","modified_gmt":"2023-09-21T12:09:33","slug":"diva-360-camera-robots-can-see-and-hear","status":"publish","type":"post","link":"https:\/\/mlnews.dev\/diva-360-camera-robots-can-see-and-hear\/","title":{"rendered":"Introducing DiVA-360 Camera: Robots Can Experience Real-world Scenes and Sounds!"},"content":{"rendered":"\n
Introducing a special camera <\/strong>that can capture high-quality audio and video from different angles at the same time.The DiVA-360 camera is collecting images and videos to teach robots how to work like a human. This camera can also take pictures of objects from all sides to see full view. It is focusing on improving the way computers “see” and “hear” the world. So for that, they have built a special camera that has a library of videos and pictures. Robots are learning how to interact with people in real-world by watching recorded videos.<\/p>\n\n\n\n Multiple researchers were included in this research and some of them are mention here including Cheng-You Lu<\/a>, Peisen Zhou<\/a>, Angela Xing<\/a>, Chandradeep Pokhariya<\/a>, Arnab Dey<\/a>, Ishaan Shah<\/a>, Rugved Mavidipalli<\/a>, Dylan Hu<\/a>, Andrew Comport<\/a>, Kefan Chen<\/a>, Srinath Sridhar<\/a>. These researcher were associated with different universities such as Brown University and etc as it was published on 1st August 2023.<\/p>\n\n\n\n In the past AI robots face many limitations when it comes to understanding real-world situations. Robots can identify images and videos but can not handle simple tasks. For example they can identify basic objects like cats and dogs in pictures but if they encounter a complex object it was difficult for them to identify the scene or object in the image. It was hard for the system to observe dynamic activities as the cameras used in the past were not advanced and take image from one angle. <\/p>\n\n\n\nBeginnings to Unstoppable Innovation<\/h2>\n\n\n\n