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AUTOMATICA
2011
13 years 3 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»
14 years 2 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
14 years 1 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
13 years 11 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»
13 years 3 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...