Deployment of a Bayesian Filter Fixed Power (BFFP) Algorithm on “Mac” for Construction Material Localization

In collaboration with the Auburn University RFID Lab, the Construction Automation, Robotics, and Visualization (CARV) Lab submits this proposal to continue to advance previous research in RFID material and robot localization. Last year, the CCIC funded the research team’s attempt to use Simultaneous Location and Mapping (SLAM) on Mac. To do this, the research team needed to place a “wrapper” over Mac’s OS system. Running on a Linux computer, the Robot Operating System (ROS) Wrapper allowed the research team to intercept the necessary packets to visualize the robot data. After many months, the research group successfully deployed SLAM Toolbox and a hybrid known as Real-Time Appearance Based Mapping.