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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
ICAS
2005
IEEE
95views Robotics» more  ICAS 2005»
14 years 1 months ago
Improving APS with Anchor Selection in Anisotropic Sensor Networks
Sensor networks are useful for environmental monitoring, military applications, disaster management, etc. In many applications, sensors are supposed to know their geographic locat...
King-Yip Cheng, Vincent Tam, King-Shan Lui
ROBIO
2006
IEEE
121views Robotics» more  ROBIO 2006»
14 years 1 months ago
Behaviour Cooperation by Negation for Mobile Robots
— This article presents a behavioural architecture, the Survival Kit (SK), which allows behaviours to cast their multivalued output by means of constraints over an ’action feat...
Pedro Santana, Luís Correia
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
14 years 2 months ago
SLAM in large indoor environments with low-cost, noisy, and sparse sonars
— Simultaneous localization and mapping (SLAM) is a well-studied problem in mobile robotics. However, the majority of the proposed techniques for SLAM rely on the use of accurate...
Teddy N. Yap Jr., Christian R. Shelton
ICRA
2009
IEEE
149views Robotics» more  ICRA 2009»
14 years 2 months ago
LSH-RANSAC: An incremental scheme for scalable localization
Abstract— This paper addresses the problem of featurebased robot localization in large-size environments. With recent progress in SLAM techniques, it has become crucial for a rob...
Kenichi Saeki, Kanji Tanaka, Takeshi Ueda