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» Dynamic Planning with Bayesian Network Applied in MAS
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JAIR
2010
145views more  JAIR 2010»
13 years 4 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
14 years 17 days ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
HYBRID
2000
Springer
13 years 10 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
NIPS
2004
13 years 7 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
IROS
2006
IEEE
204views Robotics» more  IROS 2006»
14 years 9 days ago
Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
Thorsten Rennekamp, Kai Homeier, Torsten Kroeger