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» Managing Complexity in Large Learning Robotic Systems
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ICRA
2002
IEEE
187views Robotics» more  ICRA 2002»
14 years 23 days ago
Trajectory Planning using Reachable-State Density Functions
:This paper presents a trajectory planning algorithm for mobile robots which may be subject to kinodynamic constraints. Using computational methods from noncommutative harmonic ana...
Richard Mason, Joel W. Burdick
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
14 years 9 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
EGOV
2004
Springer
14 years 1 months ago
Software Acquisition Based on Business Models
In this paper, we present an approach based on hierarchically structured business models as artifacts of business process modeling that are used in a stepwise acquisition process f...
Peter Regner, Thomas Wiesinger, Josef Küng, R...
IROS
2008
IEEE
230views Robotics» more  IROS 2008»
14 years 2 months ago
Visual recognition of grasps for human-to-robot mapping
— This paper presents a vision based method for grasp classification. It is developed as part of a Programming by Demonstration (PbD) system for which recognition of objects and...
Hedvig Kjellström, Javier Romero, Danica Krag...
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 1 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta