Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kenneth Basye"'
Publikováno v:
IJCAI
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refer to such a representation as a map, and the process of constructing a
Autor:
Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis, Oded Maron
Publikováno v:
Machine Learning. 18:81-108
Autor:
Dana Angluin, Thomas Dean, Leslie Pack Kaelbling, Oded Maron, Evangelos Kokkevis, Kenneth Basye, Sean P. Engelson
Publikováno v:
AAAI
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exploration. In addition, robots, like people, make occasional errors in p
Publikováno v:
IEEE Expert. 7:58-65
The application of Bayesian decision theory as a framework for designing high-level robotic control systems is discussed. The approach to building planning and control systems integrates sensor fusion, prediction, and sequential decision making. The
Autor:
Kenneth Basye
Publikováno v:
ACM SIGART Bulletin. 2:34-37
We present an approach to building high-level control systems for robotics based on Bayesian decision theory. We show how this approach provides a natural and modular way of integrating sensing and planning. We develop a simple solution for a particu
Publikováno v:
ICRA
An approach to building high-level control systems for robotics that is based on Bayesian decision theory is presented. The authors show how this approach provides a natural and modular way of integrating sensing and planning. They develop a simple s
Autor:
Kenneth Basye
Publikováno v:
SPIE Proceedings.
We have developed a system for robotic map construction based on representing the robot's environment as afinite automaton. In this paper we first describe the automaton model, then present an algorithm used to control exploration and construct a map
Publikováno v:
Robot Learning ISBN: 9781461363965
For certain applications it is useful for a robot to predict the consequences of its actions. As a particular example, consider programming a robot to learn the spatial layout of its environment for navigation purposes. For this problem it is useful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deec27c3e4994454c57e9f4de725022d
https://doi.org/10.1007/978-1-4615-3184-5_7
https://doi.org/10.1007/978-1-4615-3184-5_7
Autor:
Thomas Dean, Kenneth Basye
Publikováno v:
UAI
Nearly all spatial reasoning problems involve uncertainty of one sort or another. Uncertainty arises due to the inaccuracies of sensors used in measuring distances and angles. We refer to this as directional uncertainty. Uncertainty also arises in co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8f687b2062584fd0096a506fe4c9158
https://doi.org/10.1016/b978-0-444-88738-2.50033-6
https://doi.org/10.1016/b978-0-444-88738-2.50033-6
Publikováno v:
Artificial Intelligence. (1-2):139-171
From the perspective of an agent, the input/output behavior of the environment in which it is embedded can be described as a dynamical system. Inputs correspond to the actions executable by the agent in making transitions between states of the enviro