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» Learning action models for multi-agent planning
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IROS
2008
IEEE
117views Robotics» more  IROS 2008»
14 years 1 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,...
ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
13 years 11 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
RAS
2006
138views more  RAS 2006»
13 years 7 months ago
From pixels to multi-robot decision-making: A study in uncertainty
Mobile robots must cope with uncertainty from many sources along the path from interpreting raw sensor inputs to behavior selection to execution of the resulting primitive actions...
Peter Stone, Mohan Sridharan, Daniel Stronger, Gre...
IUI
2004
ACM
14 years 27 days ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
AGS
2009
Springer
14 years 2 months ago
Intelligent NPCs for Educational Role Play Game
Video games in general and educational role play games in particular would increase in believability if Non Player Characters reacted appropriately to the player’s actions. Reali...
Mei Yii Lim, João Dias, Ruth Aylett, Ana Pa...