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Localization of 2 arduino-based mobile robots using Kalman filtering

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Localization and control of Mobile robots using Kalman filtering

The objective of this project was to implement a distributed system of mobile robots and use the Kalman filter to fuse data from a exteroceptive and proprioceptive sensor source.

The idea was to use this information to localize the robots as they move within a grid. Both robots are equipped with an Inertial Measurement Unit(IMU) as their respective proprioceptive sensor. Two different exteroceptive sensors were then tested and compared. Wifi RSSI and a camera from a birds eye view.

More about the results and considerations in the report file.

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Localization of 2 arduino-based mobile robots using Kalman filtering

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