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… »

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… »