Robotic tactile perception of object properties: A review
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 …
the objects they interact with. To this end, roboticists have, in the last few decades …
Tactile sensing in dexterous robot hands
Z Kappassov, JA Corrales, V Perdereau - Robotics and Autonomous …, 2015 - Elsevier
Tactile sensing is an essential element of autonomous dexterous robot hand manipulation. It
provides information about forces of interaction and surface properties at points of contact …
provides information about forces of interaction and surface properties at points of contact …
Active inference and epistemic value
We offer a formal treatment of choice behavior based on the premise that agents minimize
the expected free energy of future outcomes. Crucially, the negative free energy or quality of …
the expected free energy of future outcomes. Crucially, the negative free energy or quality of …
A soft magnetoelectric finger for robots' multidirectional tactile perception in non-visual recognition environments
Robotic fingers with multidirectional tactile perception are of great importance for the robotic
exploration of complex unknown space, especially in environments in which visualization is …
exploration of complex unknown space, especially in environments in which visualization is …
Visual–tactile fusion for object recognition
The camera provides rich visual information regarding objects and becomes one of the most
mainstream sensors in the automation community. However, it is often difficult to be …
mainstream sensors in the automation community. However, it is often difficult to be …
The curious robot: Learning visual representations via physical interactions
What is the right supervisory signal to train visual representations? Current approaches in
computer vision use category labels from datasets such as ImageNet to train ConvNets …
computer vision use category labels from datasets such as ImageNet to train ConvNets …
Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?
A Yamaguchi, CG Atkeson - Advanced Robotics, 2019 - Taylor & Francis
This paper surveys recently published literature on tactile sensing in robotic manipulation to
understand effective strategies for using tactile sensing and the issues involved in tactile …
understand effective strategies for using tactile sensing and the issues involved in tactile …
Learning to push by grasping: Using multiple tasks for effective learning
Recently, end-to-end learning frameworks are gaining prevalence in the field of robot
control. These frameworks input states/images and directly predict the torques or the action …
control. These frameworks input states/images and directly predict the torques or the action …
Design of a flexible tactile sensor for classification of rigid and deformable objects
For both humans and robots, tactile sensing is important for interaction with the environment:
it is the core sensing used for exploration and manipulation of objects. In this paper, we …
it is the core sensing used for exploration and manipulation of objects. In this paper, we …
Single-grasp object classification and feature extraction with simple robot hands and tactile sensors
Classical robotic approaches to tactile object identification often involve rigid mechanical
grippers, dense sensor arrays, and exploratory procedures (EPs). Though EPs are a natural …
grippers, dense sensor arrays, and exploratory procedures (EPs). Though EPs are a natural …