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» Using model knowledge for learning inverse dynamics
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FM
2003
Springer
146views Formal Methods» more  FM 2003»
14 years 2 months ago
Interacting State Machines for Mobility
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...
Thomas A. Kuhn, David von Oheimb
WWW
2008
ACM
14 years 9 months ago
A differential notion of place for local search
For extracting the characteristics a specific geographic entity, and notably a place, we propose to use dynamic Extreme Tagging Systems in combination with the classic approach of...
Vlad Tanasescu, John Domingue
UM
2005
Springer
14 years 2 months ago
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Intelligent tutoring systems help students acquire cognitive skills by tracing students’ knowledge and providing relevant feedback. However, feedback that focuses only on the cog...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce ...
ROBOCUP
2004
Springer
106views Robotics» more  ROBOCUP 2004»
14 years 2 months ago
Predicting Opponent Actions by Observation
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 8 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers