Assistant Professor Sonia Chernova Wins NSF CAREER Award
Sonia Chernova Assistant Professor with WPI’s Computer Science department, has received an NSF CAREER Award for her research, “Towards Robots that Learn from Everyday People,” whose long-term goal is to make personal robots accessible to people.
Computer Science Assistant Professor Sonia Chernova has received a prestigious NSF Career Award for her research. Entitled “Towards Robots that Learn from Everyday People”, the long term goal of this research is to one day make personal robots accessible to everyday people. The development of robotic technology that work cooperatively with people is critically important for a number of industries, such as manufacturing, medicine and consumer products. To achieve this goal, the robotic technologies must be customizable to be able to work with real people in the home or marketplace, instead of just in a research laboratory.
The outcome of this specific project will be an interactive learning framework that can adapt and learn from brief interactions with a single, non-expert user. Everyday people will be able to communicate high level task knowledge to robots without requiring programming. Look for this work to be integrated into WPI's undergraduate and graduate courses.