APPLI: Adaptive Planner Parameter Learning From Interventions
Zizhao Wang Xuesu Xiao Bo Liu Garrett Warnell Peter Stone Zizhao Wang Xuesu Xiao Bo Liu Garrett Warnell Peter Stone
While classical autonomous navigation systems can typically move robots from one point to another safely and in a collision-free manner, these systems may fail or produce suboptimal behavior in certain scenarios. The current practice in such scenarios is to manually re-tune the system’s parameters, e.g. max speed, sampling rate, inflation radius, to optimize performance. This practice requires exp...