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» Statistical Inference in Mapping and Localization for Mobile...
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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
2008
IEEE
144views Robotics» more  ICRA 2008»
14 years 2 months ago
Decentralized mapping of robot-aided sensor networks
— A key problem in deploying sensor networks in real-world applications is that of mapping, i.e. determining the location of each sensor such that subsequent tasks such as tracki...
Joseph Djugash, Sanjiv Singh, Ben Grocholsky
JIRS
2008
165views more  JIRS 2008»
13 years 7 months ago
Visual Navigation for Mobile Robots: A Survey
Abstract Mobile robot vision-based navigation has been the source of countless research contributions, from the domains of both vision and control. Vision is becoming more and more...
Francisco Bonin-Font, Alberto Ortiz, Gabriel Olive...
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
14 years 2 months ago
Leaving Flatland: Toward real-time 3D navigation
— We report our first experiences with Leaving Flatland, an exploratory project that studies the key challenges of closing the loop between autonomous perception and action on c...
Benoit Morisset, Radu Bogdan Rusu, Aravind Sundare...
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
14 years 1 months ago
Learning Sensory-Motor Maps for Redundant Robots
— Humanoid robots are routinely engaged in tasks requiring the coordination between multiple degrees of freedom and sensory inputs, often achieved through the use of sensorymotor...
Manuel Lopes, José Santos-Victor