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I am testing your algorithm in an office-like environment. It looks like your approach gets stuck in local minima. Specifically, the high-level planner is unable to find a solution around a long wall. Is there a way to provide global map information?
Originally EGO-Planner is a local ESDF free planner that can avoid small obstacles. It is not a good solution to your problem, especially in office environments with long walls. In pratice, we give the planner some prior waypoints to navigate in such environments. To achieve this, you may consider passing some waypoints through this function:
Hi,
I am testing your algorithm in an office-like environment. It looks like your approach gets stuck in local minima. Specifically, the high-level planner is unable to find a solution around a long wall. Is there a way to provide global map information?
Video: https://youtu.be/I7T1-zKq7zI
Thanks!
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