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MIT Student Wants to Improve How Robots Interact with the World
Maria Bauza, a PhD candidate at MIT, wants to teach robots how to move objects better using machine learning and computer software. Working on a goal of automatous robots, the first step seems to be perfecting the way a robot will pick up an object, the way it might push the object around, and also the way it will set it down. Bauza believes that if a robot were able to make decisions regarding the object it is interacting with, it would be better equipped to interact with the world around it.
To create these robust autonomous systems, Bauza has been exploring the notion of uncertainty when robots pick up, grasp, or push an object. “If the robot could touch the object, have a notion of tactile information, and be able to react to that information, it will have much more success,” explains Bauza.
To learn more, read the complete article from MIT News here.
About this author
Jenn Toso, Social Media Marketing Specialist, specializes in all things social! As a dedicated member of the social media team at DigiKey, you can find her blogging, sharing, tweeting and posting on DigiKey’s social media channels. Jenn’s passion is the Maker and STEM communities and believes that today’s young people hold the key to a brighter tomorrow for everyone. Jenn holds a Bachelor of Science in Business, a Master of Science in Internet Marketing and a PhD in Hockey Mom. In her spare time, Jenn likes to explore her newly discovered affinity for wearable technology and fuel her addiction to all things hockey. You can usually find Jenn on some type of social media or in a hockey arena – sometimes enjoying both at the same time.
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