Sciweavers

289 search results - page 44 / 58
» Learning Landmarks for Robot Localization
Sort
View
ICML
2004
IEEE
15 years 10 months ago
A spatio-temporal extension to Isomap nonlinear dimension reduction
We present an extension of Isomap nonlinear dimension reduction (Tenenbaum et al., 2000) for data with both spatial and temporal relationships. Our method, ST-Isomap, augments the...
Odest Chadwicke Jenkins, Maja J. Mataric
ICML
2009
IEEE
15 years 10 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
IROS
2009
IEEE
126views Robotics» more  IROS 2009»
15 years 4 months ago
Hierarchical appearance-based classifiers for qualitative spatial localization
—This paper presents a novel appearance-based technique for qualitative spatial localization. A vocabulary of visual words is built automatically, representing local features tha...
Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 4 months ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
TROB
2008
123views more  TROB 2008»
14 years 9 months ago
iSAM: Incremental Smoothing and Mapping
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
Michael Kaess, Ananth Ranganathan, Frank Dellaert