“It allows us to be more confident about how safe and successful the robots will be. “Quantifying uncertainty is a missing piece in a lot of our systems,” he says. Also, the model can be updated to factor in potential errors coming from human help.ĪI’s ability to express uncertainty will make us trust robots more, says Majumdar. ![]() Right now, it assumes robots’ vision is always reliable, which may not be the case with faulty sensors. When robots reach out for help, it increases transparency about how they’re deciding what to do, which leads to better interactions, he says.Īllen Ren, a PhD student at Princeton and the study’s lead author, says there are several ways to improve KnowNo. Studies show that people prefer robots that ask questions, says Dylan Losey, an assistant professor at Virginia Tech who specializes in human-robot interaction and was not involved in this research. The paper describing the research was presented at the Conference on Robot Learning in November.īecause human language is often ambiguous, teaching robots to recognize and respond to uncertainty can improve their performance. Results showed that KnowNo-trained robots had more consistent success rates while needing less human assistance than those trained without the same statistical calculations. The total length of this course takes 14 weeks to complete with 5-8 hours. This open-source platform is providing a course on robot mechanics and control which includes two parts. edX is an online learning destination and MOOC provider which is founded by Harvard University and MIT in 2012. ![]() ![]() KnownNo was tested on three robots in more than 150 different scenarios. 5 Robot Mechanics And Control, Part I and II By edX.
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