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» Mobile Robot Localization based on a Polynomial Approach
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ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
15 years 3 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
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...
ICRA
2008
IEEE
142views Robotics» more  ICRA 2008»
15 years 4 months ago
Gaussian mixture models for probabilistic localization
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 7 months ago
Mixed reality simulation for mobile robots
Mobile robots are increasingly entering the real and complex world of humans in ways that necessitate a high degree of interaction and cooperation between human and robot. Complex ...
Ian Yen-Hung Chen, Bruce A. MacDonald, Burkhard W&...
TASE
2010
IEEE
14 years 4 months ago
Coverage of a Planar Point Set With Multiple Robots Subject to Geometric Constraints
This paper focuses on the assignment of discrete points among K robots and determining the order in which the points should be processed by the robots, in the presence of geometric...
Nilanjan Chakraborty, Srinivas Akella, John T. Wen