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License: MIT License
Code for the Steel Cannon, our 2020 IGVC Competition robot
License: MIT License
It would be useful to the path planning and navigation of the robot if we could have SLAM.
Using the gmapping package, we should try to track a global map so we can leverage our path planner more. This can also be an extension of the EKF to deliver better state estimation results
#34 contains discussion regarding these points.
I haven't tested this but you may need a "global pp" tag in the "timer_callback" function in "igvc_nav_node.py", since it is being referenced. Just noticed since I'm looking at this file to get an idea of how to write the NRC version.
It is very annoying to have to count the index of the variable I want from the ekf state array. Pls fix.
It would be nice to set the initial state of the EKF by using the ROS parameter server rather than hardcoded values
Whatever SLAM algorithm we choose needs a good pose estimator so we can use it as part of the localization system. The SLAM pose can be fed into the EKF in addition to the dead reckoning we already have. This should increase the EKF's accuracy.
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