Soft robots have garnered interest for real-world applications because of their intrinsic safety
embedded at the material level. These robots use deformable materials capable of shape …

Humans can handle and manipulate objects with ease; however, human dexterity has yet to
be matched by artificial systems. Receptors in our fingers and hands provide essential tactile …

The perception of slip is one of the distinctive abilities of human tactile sensing. The sense of
touch allows recognizing a wide set of properties of a grasped object, such as shape, weight …

The purpose of this paper is to present a comprehensive bibliography of neural network
application research in business during the period of 1994–1998. Our extensive literature …

Controlling contact with arbitrary, unknown objects defines a fundamental problem for
robotic grasping and in-hand manipulation. In real-world scenarios, where robots interact …

An artificial elastic finger skin for robot fingers was developed for controlling the grasp force
when the weight and friction coefficient of the grasped object are unknown. The elastic finger …

Slip detection, especially incipient slip, plays a very important role in achieving stable robot
grasp, whereas the fine and reliable measurement of incipient slip has not been well …

It has been concluded from numerous neurophysiological studies that humans rely on
detecting discrete mechanical events that occur when grasping, lifting and replacing an …

Incipient slip detection plays an important role in human and robotic grasping. Recently,
vision-based tactile sensors are increasingly used to detect incipient slip because of their …

The implementation of truly wearable instrumented garments capable of recording
biomechanical variables is crucial to several fields of application, from multi-media to …