Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent

  title={Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent},
  author={Christian Henkel and Marc Toussaint},
  journal={Proceedings of the 35th Annual ACM Symposium on Applied Computing},
We present a novel approach called Optimized Directed Roadmap Graph (ODRM). It is a method to build a directed roadmap graph that allows for collision avoidance in multi-robot navigation. This is a highly relevant problem, for example for industrial autonomous guided vehicles. The core idea of ODRM is, that a directed roadmap can encode inherent properties of the environment which are useful when agents have to avoid each other in that same environment. Like Probabilistic Roadmaps (PRMs), ODRM… 

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