Hai Li

TL;DR: A survey of the state-of-the-art design advances in this research area over the past 20 years is presented and can be helpful to those engaged in the topology optimization of compliant mechanisms who desire to be apprised of the field’s recent state and research tendency.

TL;DR: A normalized convolutional neural network is proposed for the diagnosis of different fault severities and orientations considering data imbalance and variable working conditions and results show that the proposed method has excellent diagnosis accuracy and admirable robustness, and also has sufficient stability on the data imbalance.

TL;DR: In this paper, a novel orthogonal displacement amplification mechanism (DAM)-based piezoelectric-driven micro gripper without using traditional bridge-type mechanism or multi-stages DAM, which realizes parallel grasping and displacement amplification simultaneously in compact configuration and benefits further miniaturization is presented.

TL;DR: In this paper, an adaptive controller using direct inverse modeling approach based on a modified Prandtl-Ishlinskii model is presented to compensate for nonlinear hysteresis in the piezoelectric actuators.

TL;DR: Experimental results demonstrate that the proposed micro-vision-based measurement method can effectively realize displacement measurement of the precision positioning stage at a frequency of hundreds Hertz with accuracy of nanometer degree.