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» Mobile Robot Localization based on a Polynomial Approach
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AUTOMATICA
2011
14 years 6 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
CDC
2008
IEEE
168views Control Systems» more  CDC 2008»
15 years 6 months ago
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments
Abstract— A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. Th...
Rafael Fierro, Silvia Ferrari, Chenghui Cai
CORR
2002
Springer
113views Education» more  CORR 2002»
14 years 11 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
ICPR
2006
IEEE
16 years 28 days ago
Monocular Vision Based SLAM for Mobile Robots
This paper describes a new vision based method for the Simultaneous Localization and Mapping of mobile robots. The only data used is a video input from a moving calibrated monocul...
E. Mouragnon, Fabien Dekeyser, Maxime Lhuillier, M...
RAS
2008
80views more  RAS 2008»
14 years 11 months ago
Motion design and learning of autonomous robots based on primitives and heuristic cost-to-go
The task of trajectory design of autonomous vehicles is typically two-fold. First, it needs to take into account the intrinsic dynamics of the vehicle, which are sometimes termed ...
Keyong Li, Raffaello D'Andrea