Data-driven method for damage localization on soft robotic grippers based on motion dynamics

HIGHLIGHTS

  • who: . and colleagues from the Virginia Tech, United States North Carolina State University have published the research: Data-driven method for damage localization on soft robotic grippers based on motion dynamics, in the Journal: (JOURNAL)
  • what: The authors develop a model that identifies and localizes damage on a soft object (Fin Ray gripper in the current case) based on its dynamics at the mounting point. In the current experiment, the authors collected the data on eight levels of roll with a 45u00b0 interval. The aim of the current section is to evaluate the proposed classification . . .

     

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