Tactile sensing is a key sensor modality for robots interacting with their surroundings. These
sensors provide a rich and diverse set of data signals that contain detailed information …

Grasping and manipulating objects with robotic hands depend largely on the features of the
object to be used. Especially, features such as softness and deformability are crucial to take …

Humans excel when dealing with everyday manipulation tasks, being able to learn new
skills, and to adapt to different complex environments. This results from a lifelong learning …

In the grasping and manipulation of 3D deformable objects by robotic hands, the physical
contact constraints between the fingers and the object have to be considered in order to …

Tactile sensors are key components for a robot hand system, which are usually used to
obtain the object's features. The use of tactile sensors to obtain information from the objects …

Grasping and manipulating deformable objects with a robot hand has several interesting
challenges. Deformable objects, due to its texture and deformability, present different …

Most works in dexterous manipulation consider Force Closure Grasp (FCG), not only for rigid
object but also, for flexible ones, though in the second case a force readjustment is also …

Changing the grasping posture of objects within a robot hand is hard to achieve, especially if
the objects are of various shape and size. In this paper we use a neural network to learn …

Handling objects with a single hand without dropping the object is challenging for a robot. A
possible way to aid the motion planning is the prediction of the sensory results of different …

Sensing techniques are important for solving problems of uncertainty inherent to intelligent
grasping tasks. The main goal here is to present a visual sensing system based on range …