Qualitative Belief Space Planning via Compositions
Itai Zilberman,Vadim Indelman,Itai Zilberman,Vadim Indelman
Planning under uncertainty is a fundamental problem in robotics. Classical approaches rely on a metrical representation of the world and robot's states to infer the next course of action. While these approaches are considered accurate, they are often susceptible to metric errors and tend to be costly regarding memory and time consumption. However, in some cases, relying on qualitative geometric in...
