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Robots who tidy up your room learning to handle new objects

By Damir Beciri
24 May 2012
Researchers in Cornell’s Personal Robotics Lab have developed a new algorithm which enables a robot to rely on its artificial intelligence to look at a group of objects instead recognizing single objects placed in front of its sensors. The algorithm enables the robot to  survey its surroundings, identify all the objects, figure out where they… »

Robotics»

Research enables robots to manipulate objects and recognize new places

By Damir Beciri
3 September 2011
Programming a computer to observe events and find commonalities is called machine learning. There are many examples of this process being perfected by many researchers around the world, but a team of researchers from the Cornell University Personal Robotics Laboratory is teaching robots to find their way around in new environments and manipulate objects with… »

Robotics»

Robot co-active learning adjusts to context-driven user preferences

By Damir Beciri
16 November 2013
Researchers at the Cornell University created an algorithm which enables robots to “coactively learn” from humans and make adjustments while an action is in progress. Their approach relies on a combination of machine learning, object and user association, and trajectory adjustment could allow robots to operate more reliably when it comes to object manipulation and… »