High-resolution tactile sensing can provide accurate information about l...
Object pushing presents a key non-prehensile manipulation problem that i...
Bimanual manipulation with tactile feedback will be key to human-level r...
This work develops a data-efficient learning from demonstration framewor...
Multi-robot platforms are playing an increasingly important role in ware...
This paper presents a control scheme for force sensitive, gentle graspin...
Tactile pose estimation and tactile servoing are fundamental capabilitie...
The sense of touch is fundamental to human dexterity. When mimicked in
r...
High-resolution optical tactile sensors are increasingly used in robotic...
Mid-air haptics create a new mode of feedback to allow people to feel ta...
Deep learning combined with high-resolution tactile sensing could lead t...
This paper introduces the BRL/Pisa/IIT (BPI) SoftHand: a single
actuator...
Robot touch can benefit from how humans perceive tactile textural
inform...
Robotic touch, particularly when using soft optical tactile sensors, suf...
For robot touch to converge with the human sense of touch, artificial
tr...
Simulation has recently become key for deep reinforcement learning to sa...
In this paper, our aim is to highlight Tactile Perceptual Aliasing as a
...
This paper proposes a controller for stable grasping of unknown-shaped
o...
Reproducing the capabilities of the human sense of touch in machines is ...
This work investigates uncertainty-aware deep learning (DL) in tactile
r...
In this work, we report on the integrated sensorimotor control of the
Pi...
This paper describes a new way of controlling robots using soft tactile
...
In robots, nonprehensile manipulation operations such as pushing are a u...
With the increase in interest in deployment of robots in unstructured
en...
Tactile sensing is used by humans when grasping to prevent us dropping
o...
We present a modified TacTip biomimetic optical tactile sensor design wh...
Little research into tactile feet has been done for walking robots despi...
Artificial touch would seem well-suited for Reinforcement Learning (RL),...
Deep learning and reinforcement learning methods have been shown to enab...
This article illustrates the application of deep learning to robot touch...
Developing artificial tactile sensing capabilities that rival human touc...
Tactile sensing has been used for a variety of robotic exploration and
m...
Manipulation tasks often require robots to be continuously in contact wi...
Deep learning has the potential to have the impact on robot touch that i...
Here we propose and investigate a novel vibrissal tactile sensor - the
T...
Our human sense of touch enables us to manipulate our surroundings;
ther...
There are a wide range of features that tactile contact provides, each w...