dddmr_navigation is the 3D navigation solution for mobile robots includes mapping/localization/perception/path planning/controller/move base
Detection of stair steps
Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively
This is a comprehensive project focused on implementing popular algorithms for state estimation, robot localization, 2D mapping, and 2D & 3D SLAM. It utilizes various types of filters, including the Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter.
Navigation stack for autonomous mobile robots
A Robot Simuation using Gazebo of a custom Home Robot that maps its environment using rtapmap to produce a 2d and 3d maps.
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