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ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
14 years 1 months ago
Reachability Analysis of Sampling Based Planners
— The last decade, sampling based planners like the Probabilistic Roadmap Method have proved to be successful in solving complex motion planning problems. We give a reachability ...
Roland Geraerts, Mark H. Overmars
ICRA
2005
IEEE
93views Robotics» more  ICRA 2005»
14 years 1 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
2007
IEEE
95views Robotics» more  IROS 2007»
14 years 2 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
14 years 2 months ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
14 years 1 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