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AAAI
2007
13 years 7 months ago
Autonomous Development of a Grounded Object Ontology by a Learning Robot
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
Joseph Modayil, Benjamin Kuipers
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
13 years 11 months ago
Flying Fast and Low Among Obstacles
— Safe autonomous flight is essential for widespread acceptance of aircraft that must fly close to the ground. We have developed a method of collision avoidance that can be use...
Sebastian Scherer, Sanjiv Singh, Lyle Chamberlain,...
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
13 years 11 months ago
Behavior-Grounded Representation of Tool Affordances
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...
Alexander Stoytchev
IROS
2008
IEEE
117views Robotics» more  IROS 2008»
13 years 12 months ago
Towards a cognitive robot that uses internal rehearsal to learn affordance relations
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura,...
CONNECTION
2006
117views more  CONNECTION 2006»
13 years 5 months ago
Bootstrap learning of foundational representations
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
Benjamin Kuipers, Patrick Beeson, Joseph Modayil, ...