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105
Voted
ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
15 years 3 months ago
Adapting Probabilistic Roadmaps to Handle Uncertain Maps
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
Patrycja E. Missiuro, Nicholas Roy
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
14 years 6 months ago
Localization of probabilistic robot formations in SLAM
This paper presents an EKF-based approach to the problem of robot formation pose tracking in SLAM when a previously built feature-based stochastic map of a navigation area is avail...
Maria Teresa Lazaro, José A. Castellanos
107
Voted
ANTSW
2010
Springer
14 years 7 months ago
Formal Verification of Probabilistic Swarm Behaviours
Robot swarms provide a way for a number of simple robots to work together to carry out a task. While swarms have been found to be adaptable, fault-tolerant and widely applicable, d...
Savas Konur, Clare Dixon, Michael Fisher
ICRA
2005
IEEE
93views Robotics» more  ICRA 2005»
15 years 3 months ago
Robotic Rock Climbing using Computer Vision and Force Feedback
Abstract Climbing robots that climb flat structures using suction cups or magnets are commonly described in the literature. However, robots that can autonomously find randomly plac...
Stephen Paul Linder, Edward Wei, Alexander Clay
IROS
2009
IEEE
261views Robotics» more  IROS 2009»
15 years 4 months ago
Probabilistic motion planning among moving obstacles following typical motion patterns
— The paper presents a navigation algorithm for dynamic, uncertain environment. The static environment is unknown, while moving pedestrians are detected and tracked on-line. Pede...
Chiara Fulgenzi, Anne Spalanzani, Christian Laugie...