Neural network-based active load-sensing scheme and stiffness adjustment for pneumatic soft actuators for minimally invasive surgery support

HIGHLIGHTS

• who: Yuxi Lu et al. from the Department of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba, Japan have published the Article: Neural Network-Based Active Load-Sensing Scheme and Stiffness Adjustment for Pneumatic Soft Actuators for Minimally Invasive Surgery Support, in the Journal: Sensors 2023, 833 of /2023/
• what: The authors proposed a neural network (NN)-based active load-sensing scheme and stiffness adjustment for a soft actuator for MIS with antagonistic chambers for three degrees of freedom (DoFs) of control. Rather than the learning capability of the NNs, the influence of the . . .
  

   

  

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