Designing Intelligent Robots
Papers from the 2012 AAAI Spring Symposium
George Konidaris, Byron Boots, Stephen Hart, Todd Hester, Sarah Osentoski, David Wingate, Program Cochairs
Technical Report SS-12-02. Published by The AAAI Press, Palo Alto, California. This technical report is also available in book and CD format.
Contents
Robot Control Based on Qualitative Representation of Human Trajectories
Nicola Bellotto
Knowledge for Intelligent Industrial Robots
Anders Björkelund, Herman Bruyninckx, Jacek Malec, Klas Nilsson, Pierre Nugues
Scaling-up Knowledge for a Cognizant Robot
Thomas Degris, Joseph Modayil
Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments
Sachithra Hemachandra, Ross Finman, Sudeep Pillai, Seth Teller, Matthew R. Walter
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots
Todd Hester, Peter Stone
Autonomous Agents Research in Robotics: A Report from the Trenches
Gal A. Kaminka
Functional Mapping: Spatial Inferencing to Aid Human-Robot Rescue Efforts in Unstructured Disaster Environments
Shanker Keshavdas, Hendrik Zender, Geert-Jan M. Kruijff, Ming Liu, Francis Colas
Designing Intelligent Robots for Human-Robot Teaming in Urban Search and Rescue
Geert-Jan M. Kruijff, Francis Colas, Tomas Svoboda, Jurriaan van Diggelen, Patrick Balmer, Fiora Pirri, Rainer Worst
Can a Robot Learn Language as a Child Does?
Stephen Eliot Levinson, Logan Niehaus, Lydia Majure, Aaron Silver, Luke Wendt
Integration of Online Learning into HTN Planning for Robotic Tasks
Stéphane Magnenat, Jean-Cédric Chappelier, Francesco Mondada
Autonomous Skills Creation and Integration in Robotics
Lorenzo Riano, T. Martin McGinnity
BECCA: Reintegrating AI for Natural World Interaction
Brandon Rohrer
Graphical Models for Integrated Intelligent Robot Architectures
Paul Rosenbloom
A Multitask Representation Using Reusable Local Policy Templates
Benjamin Saul Rosman, Subramanian Ramamoorthy
Evolutionary Language Games as a Paradigm for Integrated AI Research
Luc L Steels
Knowledge Processing for Autonomous Robot Control
Moritz Tenorth, Michael Beetz
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