This book focuses on both theory and application of evolutionary algorithms and artificial
neural networks. An attempt is made to make a bridge between these two fields with an …

Humans excel at dexterous manipulation; however, achieving human-level dexterity
remains a significant challenge for robots. Technological breakthroughs in the design of …

This book introduces readers to the fundamentals of artificial neural networks, with a special
emphasis on evolutionary algorithms. At first, the book offers a literature review of several …

This chapter covers the fundamental concepts of the recently proposed Grasshopper
Optimization Algorithm (GOA). The inspiration, mathematical model, and the algorithm are …

In this article, a six-step approach is proposed to simulate the grasp and evaluate the grasp
quality for a versatile vacuum gripper by tracking the deformation and force-torque wrench of …

This paper describes the design and manufacturing of soft artificial skin with an array of
embedded soft strain sensors for detecting various hand gestures by measuring joint …

One of the major limitations to the use of advanced robotic hands in industries is the
complexity of the control system design due to the large number of motors needed to actuate …

In this article, a novel simulation-to-real (sim2real) multimodal learning framework is
proposed for adaptive dexterous gras** and grasp status prediction. A two-stage …

This chapter introduces fundamental models of grasp analysis. The overall model is a
coupling of models that define contact behavior with widely used models of rigid-body …

Humans coordinate the abundant degrees of freedom (DoFs) of hands to dexterously
perform tasks in everyday life. We imitate human strategies to advance the dexterity of multi …