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» Mobile robot navigation using sensor fusion
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AI
2006
Springer
13 years 7 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
AUTOMATICA
2011
13 years 2 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
MICCAI
2007
Springer
14 years 1 months ago
A Probabilistic Framework for Tracking Deformable Soft Tissue in Minimally Invasive Surgery
The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation...
Peter Mountney, Benny P. L. Lo, Surapa Thiemjarus,...
ROBOCUP
1999
Springer
102views Robotics» more  ROBOCUP 1999»
13 years 12 months ago
A Method for Localization by Integration of Imprecise Vision and a Field Model
In recent years, many researchers in AI and Robotics pay attention to RoboCup, because robotic soccer games needs various techniques in AI and Robotics, such as navigation, behavi...
Kazunori Terada, Kouji Mochizuki, Atsushi Ueno, Hi...
AMIRE
2005
Springer
198views Robotics» more  AMIRE 2005»
14 years 1 months ago
Extending the Temporal Horizon of Autonomous Robots
Abstract. We introduce mathematically rigorous metrics on agent experiences having various temporal horizons. Sensorimotor variables accessible to the agent are treated as informat...
Chrystopher L. Nehaniv, Naeem Assif Mirza, Kerstin...