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PERCOM
2007
ACM
16 years 3 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
135
Voted
KR
1998
Springer
15 years 8 months ago
What Robots Can Do
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot,...
Hector J. Levesque
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 10 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ICRA
2009
IEEE
207views Robotics» more  ICRA 2009»
15 years 1 months ago
Bayesian network-based behavior control for skilligent robots
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
Sang Hyoung Lee, Il Hong Suh
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 10 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...