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Soft finger rotational stability for precision grasps

Hun Jang, Valentyn Petrichenko, Joonbum Bae, Kevin Haninger

Abstract

Soft robotic fingers can safely grasp fragile or variable form objects, but their force capacity is limited, especially with less contact area: precision grasps and when objects are smaller or not spherical. Current research is improving force capacity through mechanical design by increasing contact area or stiffness, typically without models which explain soft finger force limitations. To address this, this paper considers two types of soft grip failure, slip and dynamic rotational stability. For slip, the validity of a Coulomb model investigated, identifying the effect of contact area, pressure, and relative pose. For rotational stability, bulk linear stiffness of the fingers is used to develop conditions for dynamic stability and identify when rotation leads to slip. Together, these models suggest contact area improves force capacity by increasing transverse stiffness and normal force. The models are validated on pneumatic fingers, both custom PneuNets-based and commercially available. The models are used to find grip parameters which increase force capacity without failure.

Soft finger rotational stability for precision grasps

Abstract

Soft robotic fingers can safely grasp fragile or variable form objects, but their force capacity is limited, especially with less contact area: precision grasps and when objects are smaller or not spherical. Current research is improving force capacity through mechanical design by increasing contact area or stiffness, typically without models which explain soft finger force limitations. To address this, this paper considers two types of soft grip failure, slip and dynamic rotational stability. For slip, the validity of a Coulomb model investigated, identifying the effect of contact area, pressure, and relative pose. For rotational stability, bulk linear stiffness of the fingers is used to develop conditions for dynamic stability and identify when rotation leads to slip. Together, these models suggest contact area improves force capacity by increasing transverse stiffness and normal force. The models are validated on pneumatic fingers, both custom PneuNets-based and commercially available. The models are used to find grip parameters which increase force capacity without failure.
Paper Structure (13 sections, 8 equations, 11 figures, 1 table)

This paper contains 13 sections, 8 equations, 11 figures, 1 table.

Figures (11)

  • Figure 1: Rotational grasping instability of soft robotic fingers
  • Figure 2: Stiffness measurement of a planar soft finger, where the $\cdot_n$ and $\cdot_t$ denote normal and transverse, which change spatial direction for instability about the $z$ or $x$ axis.
  • Figure 3: Rest angle $\theta_f$ progression as $k_n$ and $k_t$ vary.
  • Figure 4: Friction measurement experimental setup
  • Figure 5: Variation in friction coefficient $f_t/f_n$, where the shaded region shows min/max values for specified grasp parameters. The reference value of $\mu=0.6$ is shown in red.
  • ...and 6 more figures