{"id":24603,"date":"2018-06-19T16:17:31","date_gmt":"2018-06-19T20:17:31","guid":{"rendered":"https:\/\/www.tun.com\/blog\/?p=24603"},"modified":"2022-03-16T10:55:19","modified_gmt":"2022-03-16T14:55:19","slug":"computer-program-can-see-5-minutes-into-the-future","status":"publish","type":"post","link":"https:\/\/www.tun.com\/blog\/computer-program-can-see-5-minutes-into-the-future\/","title":{"rendered":"Computer Program Can See 5 Minutes Into the Future"},"content":{"rendered":"

Computer scientists from the University of Bonn in Germany have developed a <\/span>self-learning computer program<\/span><\/a> that can look several minutes into the future. \u00a0\u00a0<\/span><\/p>\n

This development will enable robots to anticipate the actions of humans, allowing machines to work side by side with people. <\/span><\/p>\n

\u201cIf the action a robot should do depends on the action of a human, the robot has to anticipate the future actions of the human,\u201d said <\/span>J\u00fcrgen Gall<\/span><\/a>, a professor in the Institute of Computer Science at Bonn and lead researcher of the study. <\/span><\/p>\n

Using this software, robots can provide humans with necessary parts, tools or ingredients at the right time. \u00a0\u00a0<\/span><\/p>\n

\u201cNobody wants to wait for a robot,\u201d said Gall.<\/span><\/p>\n

Gall and his team will present their paper at the 2018 annual <\/span>Conference on Computer Vision and Pattern Recognition<\/span><\/a>, June 19-21, in Salt Lake City.<\/span>
\n<\/span><\/p>\n

Working with humans<\/b><\/h2>\n

The ultimate goal of this ongoing study is to teach robots to predict the timing and span of activities, minutes or hours before they happen. <\/span><\/p>\n

This development could easily apply to robots that clean and work in the kitchen. <\/span><\/p>\n

A kitchen robot could pass ingredients to a cook as soon as they are needed, preheat the oven, and let a cook know if he or she missed a step.<\/span><\/p>\n

A vacuum-cleaning robot could know to avoid the kitchen around dinner time and move into a less busy room. \u00a0<\/span><\/p>\n

\u201cRobots have to anticipate the future actions of the humans, otherwise they will not able to do the right action at the right time, and human-robot collaborations remain frustrating for the humans,\u201d said Gall. <\/span><\/p>\n

Training the computer program<\/b><\/h2>\n

To train the program, the researchers showed 40 six-minute-long videos of people preparing different salads, which the program \u201cwatched\u201d for four hours. <\/span><\/p>\n