A biochemistry-inspired algorithm for path planning in unmanned ground vehicles

HIGHLIGHTS

• What: The authors propose a novel biochemistry-inspired path planning algorithm designed specifically for static grid-based scenarios. This approach seeks to find a global solution that can minimize or maximize specific parameters, such as reducing the number of steps in the pathway. The authors propose adopting the metabolic pathway generation model to enhance the efficiency of UGV path planning, recognizing a substantial correlation between the two systems. Evaluation Framework To ensure robust performance evaluation, the experiments were conducted using two different hardware configurations: DELL PowerEdge T620 Server: equipped with an Intel Xeon processor E5-2667, 32 . . .
  

   

  

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