Tactile sensing—from humans to humanoids

RS Dahiya, G Metta, M Valle… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Starting from human¿ sense of touch,¿ this paper reviews the state of tactile sensing in
robotics. The physiology, coding, and transferring tactile data and perceptual importance of …

[HTML][HTML] Flexible tactile sensing based on piezoresistive composites: A review

S Stassi, V Cauda, G Canavese, CF Pirri - Sensors, 2014 - mdpi.com
The large expansion of the robotic field in the last decades has created a growing interest in
the research and development of tactile sensing solutions for robot hand and body …

[BOOK][B] Developmental robotics: From babies to robots

A Cangelosi, M Schlesinger - 2015 - books.google.com
A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …

Covering a robot fingertip with uSkin: A soft electronic skin with distributed 3-axis force sensitive elements for robot hands

TP Tomo, A Schmitz, WK Wong… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
Distributed tactile sensing is crucial to perform stable, subtle, and precise manipulation so
that a robot can recognize and handle objects properly. However, currently existing skin …

A new silicone structure for uSkin—A soft, distributed, digital 3-axis skin sensor and its integration on the humanoid robot iCub

TP Tomo, M Regoli, A Schmitz, L Natale… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
Tactile sensing is one important element that can enable robots to interact with an
unstructured world. By having tactile perception, a robot can explore its environment by …

Highly sensitive soft tactile sensors for an anthropomorphic robotic hand

L Jamone, L Natale, G Metta, G Sandini - IEEE sensors Journal, 2015 - ieeexplore.ieee.org
This paper describes the design and realization of novel tactile sensors based on soft
materials and magnetic sensing. In particular, the goal was to realize: 1) soft; 2) robust; 3) …

Challenging SMT solvers to verify neural networks

L Pulina, A Tacchella - Ai Communications, 2012 - content.iospress.com
In recent years, Satisfiability Modulo Theory (SMT) solvers are becoming increasingly
popular in the Computer Aided Verification and Reasoning community. Used natively or as …

Tactile object recognition using deep learning and dropout

A Schmitz, Y Bansho, K Noda, H Iwata… - 2014 IEEE-RAS …, 2014 - ieeexplore.ieee.org
Recognizing grasped objects with tactile sensors is beneficial in many situations, as other
sensor information like vision is not always reliable. In this paper, we aim for multimodal …

Real-time model learning using incremental sparse spectrum gaussian process regression

A Gijsberts, G Metta - Neural networks, 2013 - Elsevier
Novel applications in unstructured and non-stationary human environments require robots
that learn from experience and adapt autonomously to changing conditions. Predictive …

Design and characterization of a three-axis hall effect-based soft skin sensor

TP Tomo, S Somlor, A Schmitz, L Jamone, W Huang… - Sensors, 2016 - mdpi.com
This paper presents an easy means to produce a 3-axis Hall effect–based skin sensor for
robotic applications. It uses an off-the-shelf chip and is physically small and provides digital …