D4l: Decentralized dynamic discriminative dictionary learning
We consider discriminative dictionary learning in a distributed online setting, where a
network of agents aims to learn, from sequential observations, statistical model parameters …
network of agents aims to learn, from sequential observations, statistical model parameters …
Online learning for characterizing unknown environments in ground robotic vehicle models
In pursuit of increasing the operational tempo of a ground robotics platform in unknown
domains, we consider the problem of predicting the distribution of structural state-estimation …
domains, we consider the problem of predicting the distribution of structural state-estimation …
Q learning behavior on autonomous navigation of physical robot
H Wicaksono - … Conference on Ubiquitous Robots and Ambient …, 2011 - ieeexplore.ieee.org
Behavior based architecture gives robot fast and reliable action. If there are many behaviors
in robot, behavior coordination is needed. Subsumption architecture is behavior …
in robot, behavior coordination is needed. Subsumption architecture is behavior …
CORL: A continuous-state offset-dynamics reinforcement learner
Continuous state spaces and stochastic, switching dynamics characterize a number of rich,
realworld domains, such as robot navigation across varying terrain. We describe a …
realworld domains, such as robot navigation across varying terrain. We describe a …
Behaviors coordination and learning on autonomous navigation of physical robot
Behaviors coordination is one of keypoints in behavior based robotics. Subsumption
architecture and motor schema are example of their methods. In order to study their …
architecture and motor schema are example of their methods. In order to study their …
Classifying terrain properties for planetary exploration rovers based on a combined distance measure with dynamic texture model
K Fujita, N Ichimura - Robotics and Autonomous Systems, 2015 - Elsevier
Non-geometric terrain properties surrounding a planetary exploration rover can be exploited
to improve autonomous mobility of the rover. This paper shows a method to classify non …
to improve autonomous mobility of the rover. This paper shows a method to classify non …
[图书][B] Perception-based generalization in model-based reinforcement learning
BR Leffler - 2009 - search.proquest.com
In recent years, the advances in robotics have allowed for robots to venture into places too
dangerous for humans. Unfortunately, the terrain in which these robots are being deployed …
dangerous for humans. Unfortunately, the terrain in which these robots are being deployed …
[图书][B] Stochastic Optimization for Multi-Agent Statistical Learning and Control
A Koppel - 2017 - search.proquest.com
The goal of this thesis is to develop a mathematical framework for optimal, accurate, and
affordable complexity statistical learning among networks of autonomous agents. We begin …
affordable complexity statistical learning among networks of autonomous agents. We begin …
Behavior Coordination Methods on Autonomous Navigation of Physical Robot
H Wicaksono - 2011 - repository.petra.ac.id
Behavior based architecture gives robot fast and reliable action. If there are many behaviors
in robot, behavior coordination is needed. Subsumption architecture and motor schema is …
in robot, behavior coordination is needed. Subsumption architecture and motor schema is …