Perceiving and handling deformable objects is an integral part of everyday life for humans.
Automating tasks such as food handling, garment sorting, or assistive dressing requires …

Tactile sensing is an important perception mode for robots, but the existing tactile
technologies have multiple limitations. What kind of tactile information robots need, and how …

The ability to associate touch with other modalities has huge implications for humans and
computational systems. However multimodal learning with touch remains challenging due to …

Touch sensing can help robots understand their surrounding environment, and in particular
the objects they interact with. To this end, roboticists have, in the last few decades …

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most
recent robotic grasping work, however, has been based only on visual input, and thus …

A vision-based tactile sensor (VBTS) is an innovative optical sensor widely applied in robotic
perception. The VBTS consists of a contact module, an illumination module, and a camera …

We present a scene representation that brings vision and touch into a shared 3D space
which we call a tactile-augmented radiance field. This representation capitalizes on two key …

A successful grasp requires careful balancing of the contact forces. Deducing whether a
particular grasp will be successful from indirect measurements, such as vision, is therefore …

This review paper focuses on vision and touch-based sensors known as visuotactile. The
study of visuotactile sensation and perception became a multidisciplinary field of study by …

This paper presents RF-Avatar, a neural network model that can estimate 3D meshes of the
human body in the presence of occlusions, baggy clothes, and bad lighting conditions. We …