The Advancements in tactile sensors and machine learning techniques open new
opportunities for achieving intelligent gras** in robotics. Traditional robot is limited in its …

This paper reviews the existing vision-based tactile sensor (VBTS) designs reported in the
literature. Although some reviews on VBTSs already exist in the literature. We believe it is …

Efficient operation of control systems in robotics or autonomous driving targeting real-world
navigation scenarios requires perception methods that allow them to understand and adapt …

The manufacturing industry is currently witnessing a paradigm shift with the unprecedented
adoption of industrial robots, and machine vision is a key perception technology that …

Optical tactile sensors have recently become popular. They provide high spatial resolution,
but struggle to offer fine temporal resolutions. To overcome this shortcoming, we study the …

Grasp pose estimation is a crucial procedure in robotic manipulation. Most of the current
robot grasp manipulation systems are built on frame-based cameras like RGB-D cameras …

Equip** soft robotic grippers with sensing and perception capabilities faces significant
challenges due to their high compliance and flexibility, limiting their ability to successfully …

Robotic technologies have been an indispensable part for improving human productivity
since they have been hel** humans in completing diverse, complex, and intensive tasks …

Robotic vision plays a key role for perceiving the environment in gras** applications.
However, the conventional framed-based robotic vision, suffering from motion blur and low …

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