Optimal selective floor cleaning using deep learning algorithms and reconfigurable robot htetro

HIGHLIGHTS

  • who: Balakrishnan Ramalingam from the ROAR Lab, Engineering Product Development, Singapore University have published the paper: Optimal selective floor cleaning using deep learning algorithms and reconfigurable robot hTetro, in the Journal: Scientific Reports Scientific Reports
  • what: In this experiment, the authors observe that stain and foot stain detection confidence level and statistical measure values are relatively low compared to other classes due to less visibility of objects and complex texture shape. This work proposed a selective area cleaning/spot cleaning technique for reconfigurable floor cleaning robot hTetro using deep learning-based computer vision algorithms and . . .

     

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