Robot Localization and Map Building
Robot localization is a collection of state estimation nodes, each of which is an implementation of a nonlinear state estimator for robots moving in 3D space. It contains two state estimation nodes, ekf_localization_node and ukf_localization_node.In addition, robot localization provides navsat_transform_node, which aids in the integration of GPS data. Robotic mapping is a discipline related to cartography. The goal for an autonomous robot is to be able to construct (or use) a map or floor plan and to localize itself in it. Robotic mapping is that branch of one, which deals with the study and application of ability to construct map or floor plan by the autonomous robot and to localize itself in it.
Related Conference of Robot Localization and Map Building
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
October 24-25, 2024
10th World Congress on Computer Science, Machine Learning and Big Data
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November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
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Robot Localization and Map Building Conference Speakers
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