I n d o or Environment Mobile Robot Localization
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3
Abstract
Robot Localization is an emerging area in recent research and applications. The determination of location or localization is he basic requirement for robots to move in their office nvironment. This proposed work aims to build a map from a parse set of noisy observations, taken from known locations y multiple sensors and is validated experimentally in indoor ffice environment. A set of training data is collected from each nvironment and processed offline to produce a GP Model Gaussian Process Model). The robot uses this model to ocalize while traversing each environment. The sensors are used to extract information about the robot’s environment. Because a mobile robot moves around, it will frequently encounter unforeseen environmental characteristics. The sensors have only a limited range, and so it must hysically explore its environment to build a map. So, the robot must not only create a map but also it must do so while moving and ocalizing to explore the environment. In the robotics erminology, this is called the simultaneous localization and apping (SLAM), and then changing the robot’s trajectory as nformed by its sensors during robot motion is called the bstacle avoidance. The proposed system is used for avoiding real time obstacle in smooth surface by using feature extraction.
Authors and Affiliations
IMTHIYAS M. P.
Keywords
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