The present application belongs to the technical field of flexible robots, and relates to a structure optimization method of a fin
ray effect gripper, comprising the following steps: step 1: a co-rotation modeling method is used to construct a force-deformation relationship model of the fin
ray effect gripper as a
fast evaluation model of the performance of the gripper; step 2: structure optimization design parameters and multi-objective performance evaluation indexes of the fin
ray effect gripper are determined; step 3: based on a
Bayesian optimization algorithm, the
fast evaluation model is combined to construct a multi-objective structure optimization framework,
global optimal sample search is performed on the design parameters, and a Pareto front is solved; and step 4: experimental
verification is performed on typical optimal parameter combinations in the Pareto front, and optimal structure parameters of the gripper suitable for different gripping scenes are output. The present application can be applied to the design and optimization of flexible, rigid and rigid-flexible
hybrid robot compliant mechanisms, and can be widely applied to the high-
performance design and parameter tuning of gripper structures in industrial gripping, service robots, precision operation and the like.