Evaluation

There are kinds of soft manipulators that achieve appreciable performance in their specialty respectively, nevertheless, there isn’t a universal evaluation criteria for assessing and comparing their performance. In this page, aimed at reaching a high level of load bearing capacity with little loss in flexibility, we set these two characteristics as the main metrics.

Flexibility

As for flexibility, we define it as a manipulator’s reachable space, which consists of all the points that the tip of the manipulator can reach with another end fixed. To show comparison between manipulators with different shapes and scales, we calculate the ratio of that space to the dimensionality’s power of its original length, as a relative flexibility.  

flexibilityload
equation_flex_01

 

Minimum bending radius, original length, maximum length and width of the manipulator are represented as R, L0, L1 and D respectively. Sis the bending arc and outer boundary and S0 is the bending arc and inner boundary.

Load bearing capacity

As for load bearing capacity, we define it as the maximum load moment of a soft manipulator when it is able to remain stable and its loaded end is on the same height with its fixed end. How the manipulator reaches such a condition is not confined.

F represents the internal force provided by the airbags, which is determined by the contact area S and pressure p. k1, k2, k3 represent the spring coefficients, M represents the load moment provided by this structure. To reach a balance, we assume a elongation of Δs for the springs.

load_01

The force balance can be represented as:

equation_load_1_01

The load moment can be calculated as: 

equation_load_01

Bibliography

Jiang et al. (2016) Design and Simulation Analysis of a Soft Elastomer Manipulator based on Honeycomb Pneumatic Networks.

Sun et al. (2016) FLEXIBLE HONEYCOMB PNEUNETS ROBOTS.

Jiang et al. (2017) A Two-Level Approach for Solving the Inverse Kinematics of an Extensible Soft Arm Considering Viscoelastic Behavior.

Jiang et al. (2016) Design and Simulation Analysis of a Soft Manipulator Based on Honeycomb Pneumatic Networks.

Giri et al. (2010) Continuum robots and underactuated grasping

Grissom, et al. (2006) Design and experimental testing of the OctArm soft robot manipulator.

Contributors

Hao Jiang

Zhanchi Wang

Xinghua Liu

Xiaotong Chen

Yusong Jin

Hao Sun

Xiaoping Chen