Robotic tactile perception of object properties: A review

S Luo, J Bimbo, R Dahiya, H Liu - Mechatronics, 2017 - Elsevier
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 …

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 …

Nonverbal sound in human-robot interaction: A systematic review

BJ Zhang, NT Fitter - ACM Transactions on Human-Robot Interaction, 2023 - dl.acm.org
Nonverbal sound offers great potential to enhance robots' interactions with humans, and a
growing body of research has begun to explore nonverbal sound for tasks such as sound …

A spoken language dataset of descriptions for speech-based grounded language learning

GY Kebe, P Higgins, P Jenkins, K Darvish… - Advances in neural …, 2021 - par.nsf.gov
Grounded language acquisition is a major area of research combining aspects of natural
language processing, computer vision, and signal processing, compounded by domain …

Improved and scalable online learning of spatial concepts and language models with map**

A Taniguchi, Y Hagiwara, T Taniguchi, T Inamura - Autonomous Robots, 2020 - Springer
We propose a novel online learning algorithm, called SpCoSLAM 2.0, for spatial concepts
and lexical acquisition with high accuracy and scalability. Previously, we proposed …

Guiding exploratory behaviors for multi-modal grounding of linguistic descriptions

J Thomason, J Sinapov, R Mooney… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
A major goal of grounded language learning research is to enable robots to connect
language predicates to a robot's physical interactive perception of the world. Coupling object …

Formation of hierarchical object concept using hierarchical latent dirichlet allocation

Y Ando, T Nakamura, T Araki… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
In recent studies, it has been revealed that robots can form concepts and understand the
meanings of words through inference. The key idea underlying these studies is “multimodal …

Ensemble-of-concept models for unsupervised formation of multiple categories

T Nakamura, T Nagai - IEEE Transactions on Cognitive and …, 2017 - ieeexplore.ieee.org
Recent studies have shown that robots can form concepts and understand the meanings of
words through inference. The key idea underlying these studies is the “multimodal …

A framework for sensorimotor cross-perception and cross-behavior knowledge transfer for object categorization

G Tatiya, R Hosseini, MC Hughes… - Frontiers in Robotics and …, 2020 - frontiersin.org
From an early age, humans learn to develop an intuition for the physical nature of the
objects around them by using exploratory behaviors. Such exploration provides …

Concept formation by robots using an infinite mixture of models

T Nakamura, Y Ando, T Nagai… - 2015 IEEE/RSJ …, 2015 - ieeexplore.ieee.org
We propose a method for a robot to form various concepts. The robot uses its embodiment to
obtain visual, auditory, and haptic information by gras**, shaking, and observing objects …