MIT engineers have developed a method that enables robots to make similarly intuitive, task-relevant decisions. The team’s new approach, named Clio, enables a robot to identify the parts of a scene that matter, given the tasks at hand. With Clio, a robot takes in a list of tasks described in natural language and, based on those tasks, it then determines the level of granularity required to interpret its surroundings and “remember” only the parts of a scene that are relevant.
New method enables robots to quickly map a scene
Helping robots zero in on the objects that matter
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Breakthrough algorithm lets you do speech recognition offline
Researchers develop offline speech recognition algorithm