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» Learning Behaviors Models for Robot Execution Control
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OOPSLA
2000
Springer
14 years 7 days ago
A real world object modeling method for creating simulation environment of real-time systems
Most real-time embedded control software feature complex interactions with asynchronous inputs and environment objects, and a meaningful simulation of a real-time control software...
Ji Y. Lee, Hye J. Kim, Kyo Chul Kang
ECMDAFA
2010
Springer
151views Hardware» more  ECMDAFA 2010»
14 years 4 hour ago
Generative Technologies for Model Animation in the TopCased Platform
Domain Specific Modeling Languages (DSML) are more and more used to handle high level concepts, and thus bring complex software development under control. The increasingly recurrin...
Xavier Crégut, Benoît Combemale, Marc...
HRI
2009
ACM
14 years 3 months ago
Providing route directions: design of robot's utterance, gesture, and timing
Providing route directions is a complicated interaction. Utterances are combined with gestures and pronounced with appropriate timing. This study proposes a model for a robot that...
Yusuke Okuno, Takayuki Kanda, Michita Imai, Hirosh...
TC
2010
13 years 3 months ago
Generating Reliable Code from Hybrid-Systems Models
Hybrid systems have emerged as an appropriate formalism to model embedded systems as they capture the theme of continuous dynamics with discrete control. Under this paradigm, distr...
Madhukar Anand, Sebastian Fischmeister, Yerang Hur...
AAAI
2008
13 years 11 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown