The development of robots that work cooperatively with people is of critical importance for furthering advancements in manufacturing, medicine, healthcare, military, and consumer applications. Central to this goal is the development of technologies that are adaptable to changing task and user needs. The Robot Autonomy and Interactive Learning research group at Worcester Polytechnic Institute (WPI) focuses on the development of interactive robotic and software systems.  Our work aims to provide everyday people with the ability to customize the functionality of autonomous devices.  Our research spans the fields of robot learning, adjustable autonomy, crowdsourcing, multi-robot teaming and human-robot interaction.

 

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Recent Happenings

[09/2013] Sonia Chernova receives NSF award for work on "Learning from Demonstration for Cloud Robotics" in collaboration with Andrea Thomaz at Georgia Tech.

[09/2013] Russell Toris, David Kent, Sonia Chernova. "The Robot Management System: A Framework for Conducting Human-Robot Interaction Studies Through Crowdsourcing", to appear in the Journal on Human-Robot Interaction.

[08/2013] Sonia Chernova receives ONR award for work on "Collaborative Robot Learning from Demonstration Using Hierarchical Task Networks and Attributive Motion Planning" in collaboration with Charles Rich, Candace Sidner and Dmitry Berenson at WPI.

[07/2013] National Georgraphic features latest work in web robotics by Chad Jenkins at Brown University and RAIL's RobotsFor.Me project led by Russell Toris in Robot Revolution? Scientists Teach Robots to Learn.

[06/2013] Adrian Boteanu's paper on "Unsupervised Rating Prediction based on Local and Global Semantic Models" has been accepted to the AAAI Fall Symposium series.

[05/2013] Robot Web Tools, a collection of open-source modules and tools for building web-based robot apps, is launched!

[02/2013] Nicholas Alunni, Calder Phillips-Grafflin, Halit Bener Suay, Daniel Lofaro, Dmitry Berenson, Sonia Chernova, Robert W. Lindeman and Paul Oh. "Toward A User-Guided Manipulation Framework for High-DOF Robots with Limited Communication" accepted to TEPRA2013.

[01/2013] Ben Suay's paper on "Learning from Demonstration with Multiple Techniques" has been accepted to the HRI Pioneers workshop in Tokyo.


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