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ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 5 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
AMS
2007
Springer
294views Robotics» more  AMS 2007»
14 years 4 days ago
Active Monte Carlo Localization in Outdoor Terrains Using Multi-level Surface Maps
Abstract. In this paper we consider the problem of active mobile robot localization with range sensors in outdoor environments. In contrast to passive approaches our approach activ...
Rainer Kümmerle, Patrick Pfaff, Rudolph Trieb...
ATAL
2010
Springer
13 years 7 months ago
Image based exploration for indoor environments using local features
d Abstract) Aravindhan K Krishnan Madhava Krishna Supreeth Achar This paper presents an approach to explore an unknown indoor environment using vision as the sensing modality, t...
Aravindhan K. Krishnan, K. Madhava Krishna, Supree...
IJRR
2000
94views more  IJRR 2000»
13 years 5 months ago
Sensor-Based Exploration: Incremental Construction of the Hierarchical Generalized Voronoi Graph
This paper prescribes an incremental procedure to construct roadmaps of unknown environments. Recall that a roadmap is a geometric structure that a robot uses to plan a path betwe...
Howie Choset, Sean Walker, Kunnayut Eiamsa-Ard, Jo...
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
13 years 11 months ago
Information Based Distributed Control for Biochemical Source Detection and Localization
— The paper proposes several improvements on the Direction of Gradient (DOG) algorithm proposed in [1] for detecting and localizing a biochemical source with moving sensors. In p...
Panos Tzanos, Milos Zefran, Arye Nehorai