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AUTOMATICA
2011
14 years 11 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
ICRA
2006
IEEE
86views Robotics» more  ICRA 2006»
15 years 10 months ago
The Statistical Dynamics of Programmed Self-assembly
Abstract— We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov Process model of the dynamics of progr...
Nils Napp, Samuel Burden, Eric Klavins
ECAI
2000
Springer
15 years 8 months ago
Turning High-Level Plans into Robot Programs in Uncertain Domains
The actions of a robot like lifting an object are often best thought of as low-level processes with uncertain outcome. A highlevel robot plan can be seen as a description of a task...
Henrik Grosskreutz, Gerhard Lakemeyer
FLAIRS
2007
15 years 6 months ago
Robotran: A Programming Environment for Novices Using LEGO Mindstorms Robots
The LEGO Mindstorms robots provide an excellent introductory platform for students to learn computer programming. However, a major drawback is students’ lack of access to robots...
R. Mark Meyer, Debra T. Burhans
JMLR
2010
125views more  JMLR 2010»
14 years 11 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...