Localization of a Mobile Autonomous Robot Using Extended Kalman Filter

This early research focuses on the localization of mobile robots in dynamic environments using Extended Kalman Filters (EKF).

Overview:

Accurate localization is a fundamental requirement for autonomous robot navigation. This work implements an EKF-based approach to fuse sensor data and provide robust pose estimation for a mobile robot.

Presented at the 2013 IEEE ICACC.

[Full Paper on IEEE Xplore]