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A Continuous Grasp Representation for the Imitation Learning of Grasps on Humanoid Robots
2014
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Based on the representation a framework is proposed which enables the robot to observe human grasping, learn grasp representations, and infer executable grasping actions. ...
Models and methods are presented which enable a humanoid robot to learn reusable, adaptive grasping skills. Mechanisms and principles in human grasp behavior are studied. ...
For the target pose, it is assumed that the object to be grasped is annotated with suitable grasp poses and contact positions 7.5 . ...
doi:10.5445/ir/1000047789
fatcat:3v2ylnibkvfmhirgvdcorumhqq
Learning Grasping Possibilities for Artifacts: Dimensions, Weights and Distributional Semantics
[chapter]
Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015
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MF would also like to thank the EPSRC for its support in the form of a doctoral training grant. ...
We are particularly grateful to Manuela Cherchi, Erika Ibba, Anna De Santis, Giuseppe Casu, Jessica Ladu, Ilaria Del Rio, Elisa Virdis, Gino Castangia for their annotation work. ...
Annotation scheme and corpus The scheme, described in (Di Bari et al., 2013) , specifies different attributes for the categories target, modifier and appraisal group. A target is usually a noun. ...
doi:10.4000/books.aaccademia.1546
fatcat:42j6mlvuavaj3psff3adymnvb4
Toward mapping pragmatic impairment of autism spectrum disorder individuals through the development of a corpus of spoken Japanese
2022
PLoS ONE
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The aim of this research is to present a model of annotation scheme development and corpus construction to efficiently visualize and quantify for statistical investigation occurrences of PI, which enables ...
To elucidate the whole picture of this impairment, an approach from a multifaceted perspective fusing those factors is necessary. ...
Such a corpus, with a systematically multilayered and elaborated annotation scheme grounded in the theoretical framework of SFL, does not exist in previous studies. ...
doi:10.1371/journal.pone.0264204
pmid:35213580
pmcid:PMC8880787
fatcat:r4pnnxwihnfglgfcceyowv6zlu
Robot grasping by exploiting compliance and environmental constraints
2019
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Grasping is a crucial skill for any autonomous system that needs to alter the physical world. ...
We view hand compliance as an enabler for local adaptability in the grasping process that does not require explicit reasoning or planning. ...
Controllers for reaching and grasping have been learned by approximating the Q-function with a multilayer perceptron (Lampe and Riedmiller, 2013) . ...
doi:10.14279/depositonce-8896
fatcat:2pncbuw7s5ccvoem746qoogwe4
Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation
[article]
2018
arXiv
pre-print
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A thorough comprehension of image content demands a complex grasp of the interactions that may occur in the natural world. ...
For this, we propose a framework that makes use of semantic knowledge and estimates the relevance of object pairs during both training and test phases. ...
Furthermore, we present a novel relevance prediction scheme that evaluates how important a given object pair is to annotate. ...
arXiv:1805.10802v1
fatcat:3a6cqivkanbirpssu6hkw32aca
Multimodal Attention Branch Network for Perspective-Free Sentence Generation
[article]
2019
arXiv
pre-print
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In this paper, we address the automatic sentence generation of fetching instructions for domestic service robots. ...
We evaluated our approach, which outperforms the state-of-the-art method on a standard metrics. ...
Additionally, we plan to apply the Multi-ABN on a fully communicative DSR scheme that couples sentence generation and natural language comprehension for fetching tasks. ...
arXiv:1909.05664v1
fatcat:wpvrdmtdafbibieoknwo6aoioq
Perspectives on algorithmic normativities: engineers, objects, activities
2019
Big Data & Society
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This contribution aims at proposing a framework for articulating different kinds of "normativities" that are and can be attributed to "algorithmic systems." ...
The norm expresses a technical scheme's becoming as it mutates through, but also resists, inventions. ...
Acknowledgement We would like to thank our friends and colleagues Nathan Devos and Franc¸ois Thoreau for discussions and criticisms, the two anonymous reviewers that made very productive critiques and ...
doi:10.1177/2053951719858742
fatcat:ik6xjetinna5joy2nsph6c6fie
Research on PLSA Model based Semantic Image Analysis: A Systematic Review
2018
Journal of Information Hiding and Multimedia Signal Processing
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Finally, this paper is ended with a summary of some important conclusions and several potential research directions for semantic image analysis in the near future. ...
So the current paper, to begin with, elaborates the basic principles of the PLSA model, followed by summarizes PLSA with applications to image annotation, image retrieval, image classification and several ...
Also, the author thanks Professor Zhongzhi Shi for stimulating discussions and helpful hints. This ...
dblp:journals/jihmsp/Tian18b
fatcat:jbhuva4bq5akdldkdkba3fseda
ISACCO: a corpus for investigating spoken and written language development in Italian school–age children
2016
Italian Journal of Computational Linguistics
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Written retellings were manually annotated with a typology of errors belonging to three different linguistic levels. ...
Publisher Accademia University Press Printed version Number of pages: 63-76 Electronic reference Dominique Brunato and Felice Dell'Orletta, "ISACCO: a corpus for investigating spoken and written language ...
Acknowledgments We would like to thank the headmaster of the primary school "Vasco Morroni" of Ghezzano (Pisa), the teachers and all the children taking part in this research for their contribution. ...
doi:10.4000/ijcol.356
fatcat:s4v4pneud5fjpfwv6ih7j3c53m
A Blended System for Data-Driven Learning of English for Specific Purposes
2022
International Journal of Emerging Technologies in Learning (iJET)
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Built on a flexible plug-in architecture, the system utilizes state-of-the-art NLP tools for efficient multilayered linguistic annotation and indexing, made query-able through a user-friendly web interface ...
interfaces for ESP learning, have limited their application in a broader range of scenarios such as blended language learning. ...
GD20CWY15), and the Bilingual Cognition and Development Lab, Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies (Grant No. BCD20202). ...
doi:10.3991/ijet.v17i12.29653
doaj:5c24f1b37a9c45259f6cf6a9286aa5f0
fatcat:baekeqrpcndebbgs22r3hulth4
2021 Index IEEE Transactions on Cognitive and Developmental Systems Vol. 13
2021
IEEE Transactions on Cognitive and Developmental Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
Depth Prediction and Camera Pose Estimation for A Vector-Based Constrained Obstacle Avoidance Scheme for Wheeled Mobile Redundant Robot Manipulator. ...
., +, TCDS June 2021 429-441 A Reinforcement Learning Method Using Multifunctional Principal Component Analysis for Human-Like Grasping. ...
doi:10.1109/tcds.2021.3137068
fatcat:r2zbw6js65fpnenn4kybim3kw4
Secure Data Sharing and Processing in Heterogeneous Clouds
2015
Procedia Computer Science
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Our goal is to enable both security and legal conformance as well as to facilitate transparency, privacy and effectivity of private cloud federations for the public sector needs. ...
The extensive cloud adoption among the European Public Sector Players empowered them to own and operate a range of cloud infrastructures. ...
The elements of SACPL are applied as annotations to XACML rules (Rissanen, 2012) , which serve as a basis for interoperable security policy. ...
doi:10.1016/j.procs.2015.09.228
fatcat:yfre4npnhrgfri4gnx3mymv2ze
Knowledge Amalgamation for Object Detection with Transformers
[article]
2022
arXiv
pre-print
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In this work, we explore a more effective KA scheme for transformer-based object detection models. ...
Currently, most of these approaches are tailored for convolutional neural networks (CNNs). ...
To begin with, let D = {I i } L i=1 be a dataset of L images. For image I i , we have a set of annotations Y i = {y j i } ai j=1 , where a i is the number of annotations for I i . ...
arXiv:2203.03187v1
fatcat:xf7i6u27erbozb3cuge6fqni5e
Recognizing Textual Entailment: Challenges in the Portuguese Language
2018
Information
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As in many NLP tasks, textual entailment corpora for English abound, while the same is not true for more resource-scarce languages such as Portuguese. ...
If such relation is bidirectional, then we are in the presence of a paraphrase. ...
Henrique Lopes Cardoso has supervised the work, namely for defining the methods proposed, designing the experimental settings and analyzing results. ...
doi:10.3390/info9040076
fatcat:e7n6olpwvjbbjpo3wjss5wkoxy
Learning Deep on Cyberbullying is Always Better Than Brute Force
2017
International Joint Conference on Artificial Intelligence
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In this paper we present our research on detection of cyberbullying (CB), which stands for humiliating other people through the Internet. ...
We propose a novel method to automatic cyberbullying detection based on Convolutional Neural Networks and increased Feature Density. ...
To prepare gold standard for their experiments they used a crowd-sourcing approach with untrained layperson annotators hired for a classification task through Mechanical Turk. ...
dblp:conf/ijcai/PtaszynskiEM17
fatcat:54kthwpqkrbffjibjidqmqie6u
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