A path planning approach for mobile robots using short and safe q-learning

HIGHLIGHTS

  • who: Bing Hao et al. from the College of Computer and Control Engineering, Qiqihar University, Qiqihar, China, College of have published the paper: A path planning approach for mobile robots using short and safe Q-learning, in the Journal: PLOS ONE of September/26,/2022
  • what: Problem formulation To better illustrate the planning problem using SSQL in this paper, path planning process is shown in Fig 1. The approach has the shortest path length and smallest turning angle of MR for short and safe path planning in all cases, compared with the comparison algorithms in . . .

     

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