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Tian, et al.




















           Figure  3.  Demonstration  of  the  actuation  system  of  our  previous  design  (left)  and  the  simplified  one  used  in  this  paper  (right). The
           simplification is feasible due to our multi-layer design. The remaining structures are labeled in green.

              of the tissue tube, to control the deformation modulus   A
              of the tissue layer. This is feasible as the larger σ is, the
              harder it is to deform the tissue layer. The 3D tissue
              model with the thickness of σ can be generated easily
              by shrinking the outer hull by σ, while expanding the
              inner hull by σ as well. In this way, the tissue layer
              is modeled by 2 concentric tubes, as demonstrated
              in  Figure  4. To determine  the  optimal  value  of  σ,
              this method records the curves of normal forces and
              contact surfaces [31]  with different values of σ, and sets
              σ as the one with the curve being closest to that of the
              human finger.
               Here, we summarize the steps of our fast template   B
           matching method as follows:
           (i)    Acquire the human hand model by 3D scanning;
           (ii)   Import the 3D models for bones and hand to Maya;
           (iii)  Manually place the landmarks of 5 fingertips;  C
           (iv)  Place the landmarks of joints;
           (v)   Place the hand bones based on landmarks;
           (vi)  Cut the hand into 5 fingers by bonding boxes;
           (vii)  Generate the tissue layer;                   Figure  4. (A) Modeling the tissue layer as a concentric  tube
           (viii) Cut each finger tissue into 3 pieces.        structure.  (B)  Demonstration  of  tissue  tubes  with  different
               The  codes  and  demonstration of the  modeling   thicknesses. (C) Supports for stabilizing the structure.
           process are available  in the Appendix (refer to “Maya   them can be described with a nonlinear elastic model; while
           Script.zip”  and “V4  3D Modeling Process.mp4”).    for a tiny object, considering the fact that the object can be
           Compared with existing robotic hand modeling method,   enclosed by the finger, a cage based model is more suitable.
           the proposed fast template matching method provides a   The nonlinear elastic surface model is proposed by
           simple and fast way to generate 3D printable parts.  Xydas et al. [32,33] , which extends the Hertzian model for
           2.5. Deformation and contact model                  describing the contact surface of a soft finger as follows:
           Due to the deformability of our tissue layer, objects with        a = cF n/(2 n + )1             (4)
           various sizes can be grasped with different gestures. In this
           case,  it  is  insufficient  to  describe  the  contact-mechanics   where c is a constant determined by the properties
           model of our robot hand merely based on a single model. To   of the fingertip, such as the material and shape. F is the
           tackle this problem, we propose to categorize the contacts   normal  force  pressed  on  the  fingertip,  n is the strain
           with objects into two types based on the sizes of objects.   hardening exponent of the material, and a is the radius
           Specifically,  for  grasping  an  object  with  normal  size,   of the contact surface, which is assumed to be circular.
           multiple contact surfaces may be generated, and each of   However, we obverse from experiments that most contact

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