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» Learning from examples in unstructured, outdoor environments
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IROS
2008
IEEE
172views Robotics» more  IROS 2008»
14 years 2 months ago
Motion planning in urban environments: Part II
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
Dave Ferguson, Thomas M. Howard, Maxim Likhachev
ANSS
2005
IEEE
14 years 2 months ago
Mobility Modeling of Outdoor Scenarios for MANETs
Mobility of users significantly impacts performance of a mobile ad-hoc network. Most existing simulation tools offer only a few random mobility models, which poorly reflect user m...
Illya Stepanov, Pedro José Marrón, K...
JFR
2006
88views more  JFR 2006»
13 years 8 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 2 months ago
Learning to Drive Among Obstacles
— This paper reports on an outdoor mobile robot that learns to avoid collisions by observing a human driver operate a vehicle equipped with sensors that continuously produce a ma...
Bradley Hamner, Sebastian Scherer, Sanjiv Singh