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AAAI
1992
15 years 3 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
ICTAI
2000
IEEE
15 years 5 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
15 years 10 days ago
Data-driven optimization for underactuated robotic hands
— Passively adaptive and underactuated robotic hands have shown the potential to achieve reliable grasping in unstructured environments without expensive mechanisms or sensors. I...
Matei T. Ciocarlie, Peter K. Allen
CVPR
2011
IEEE
14 years 5 months ago
Blur kernel estimation using the Radon Transform
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
Taeg Sang Cho, Sylvain Paris, Bill Freeman, Bertho...
TSP
2011
152views more  TSP 2011»
14 years 8 months ago
Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter
Abstract—Mapping stationary objects is essential for autonomous vehicles and many autonomous functions in vehicles. In this contribution the probability hypothesis density (PHD) ...
Christian Lundquist, Lars Hammarstrand, Fredrik Gu...