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RAS
2006
138views more  RAS 2006»
14 years 9 months ago
From pixels to multi-robot decision-making: A study in uncertainty
Mobile robots must cope with uncertainty from many sources along the path from interpreting raw sensor inputs to behavior selection to execution of the resulting primitive actions...
Peter Stone, Mohan Sridharan, Daniel Stronger, Gre...
IJCAI
1989
14 years 10 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
80
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ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 3 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
IJRR
2010
102views more  IJRR 2010»
14 years 8 months ago
View-based Maps
— Robotic systems that can create and use visual maps in realtime have obvious advantages in many applications, from automatic driving to mobile manipulation in the home. In this...
Kurt Konolige, James Bowman, J. D. Chen, Patrick M...
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 4 months ago
Monocular range sensing: A non-parametric learning approach
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...
Christian Plagemann, Felix Endres, Juergen Michael...