Robots & Language 2018


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Robotics Meta Guide


Guidelines for designing social robots as second language tutors
T Belpaeme, P Vogt, R Van den Berghe… – International Journal of …, 2018 – Springer
In recent years, it has been suggested that social robots have potential as tutors and educators for both children and adults. While robots have been shown to be effective in teaching knowledge and skill-based topics, we wish to explore how social robots can be …

Social robots for early language learning: Current evidence and future directions
J Kanero, V Geçkin, C Oranç, E Mamus… – Child Development …, 2018 – Wiley Online Library
In this article, we review research on child–robot interaction (CRI) to discuss how social robots can be used to scaffold language learning in young children. First we provide reasons why robots can be useful for teaching first and second languages to children. Then …

A review of service robots coping with uncertain information in natural language instructions
MAVJ Muthugala, AGBP Jayasekara – IEEE Access, 2018 – ieeexplore.ieee.org
Intelligent service robots are currently being developed to cater to demands in emerging areas of robotic applications, ranging from entertainment to health care. These service robots are intended to be operated by nonexpert users, and their service tasks involve direct …

Explain yourself: A natural language interface for scrutable autonomous robots
FJC Garcia, DA Robb, X Liu, A Laskov, P Patron… – arXiv preprint arXiv …, 2018 – arxiv.org
Autonomous systems in remote locations have a high degree of autonomy and there is a need to explain what they are doing and why in order to increase transparency and maintain trust. Here, we describe a natural language chat interface that enables vehicle behaviour to …

Design and realization of a sign language educational humanoid robot
A Meghdari, M Alemi, M Zakipour… – Journal of Intelligent & …, 2018 – Springer
This paper introduces a novel robotic platform, called RASA (Robot Assistant for Social Aims). This educational social robot is designed and constructed to facilitate teaching Persian Sign Language (PSL) to children with hearing disabilities. There are three …

Follownet: Robot navigation by following natural language directions with deep reinforcement learning
P Shah, M Fiser, A Faust, JC Kew… – arXiv preprint arXiv …, 2018 – arxiv.org
Understanding and following directions provided by humans can enable robots to navigate effectively in unknown situations. We present FollowNet, an end-to-end differentiable neural architecture for learning multi-modal navigation policies. FollowNet maps natural language  …

A robot teaching young children a second language: The effect of multiple interactions on engagement and performance
E Rintjema, R van den Berghe… – … on human-robot …, 2018 – dspace.library.uu.nl
This paper explores the use of a social robot for one-on-one tutoring, in a study in which 15 children participated in four second-language tutoring sessions. Specifically, changes across sessions are measured on two dimensions: engagement and performance. Results …

Teaching language to deaf infants with a robot and a virtual human
B Scassellati, J Brawer, K Tsui… – Proceedings of the …, 2018 – dl.acm.org
Children with insufficient exposure to language during critical developmental periods in infancy are at risk for cognitive, language, and social deficits [55]. This is especially difficult for deaf infants, as more than 90% are born to hearing parents with little sign language  …

Integrating multi-purpose natural language understanding, robot’s memory, and symbolic planning for task execution in humanoid robots
M Wächter, E Ovchinnikova, V Wittenbeck… – Robotics and …, 2018 – Elsevier
We propose an approach for instructing a robot using natural language to solve complex tasks in a dynamic environment. In this study, we elaborate on a framework that allows a humanoid robot to understand natural language, derive symbolic representations of its …

Evaluating robot behavior in response to natural language
P Moolchandani, CJ Hayes, M Marge – … Conference on Human-Robot …, 2018 – dl.acm.org
Human-robot teaming can be improved if a robot» s actions meet human users» expectations. The goal of this research is to determine what variations of robot actions in response to natural language match human judges» expectations in a series of tasks. We …

Dyadic stance in natural language communication with a teachable robot
T Chaffey, H Kim, E Nobrega, N Lubold… – … on Human-Robot …, 2018 – dl.acm.org
Learning companion robots can provide personalized learning interactions to engage students in many domains including STEM. For successful interactions, students must feel comfortable and engaged. We describe an experiment with a learning companion robot  …

Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms
R Paul, J Arkin, D Aksaray, N Roy… – … Journal of Robotics …, 2018 – journals.sagepub.com
Our goal is to develop models that allow a robot to efficiently understand or “ground” natural language instructions in the context of its world representation. Contemporary approaches estimate correspondences between language instructions and possible groundings such as …

A Novel Gesture-Based Language for Underwater Human–Robot Interaction
D Chiarella, M Bibuli, G Bruzzone, M Caccia… – Journal of Marine …, 2018 – mdpi.com
The underwater environment is characterized by hazardous conditions that make it difficult to manage and monitor even the simplest human operation. The introduction of a robot companion with the task of supporting and monitoring the divers during their activities and …

The Use of Social Robots for Supporting Language Training of Children.
KS Fuglerud, I Solheim – Studies in health technology and …, 2018 – europepmc.org
A number of studies have found that robots can contribute to engagement and motivation in educational settings. We wanted to explore the possibilities and challenges of using a social robot as an assistive tool for learning and training of basic concepts and words. Robots are …

Commanding mobile robot movement based on natural language processing with RNN encoderdecoder
W Kahuttanaseth, A Dressler… – 2018 5th International …, 2018 – ieeexplore.ieee.org
This work utilizes the potential of NLP and machine learning for the challenging task of human-machine communication. A task of robot movement is selected as the context of the research work where the goal is to create a software system that receives natural language  …

Ontology-based fuzzy markup language agent for student and robot co-learning
CS Lee, MH Wang, TX Huang, LC Chen… – … on Fuzzy Systems …, 2018 – ieeexplore.ieee.org
An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The machine-human co-learning model is established to help various students learn the …

Variability and interpretation of communication taxonomy during robot?assisted surgery: do we all speak the same language?
S Raheem, YE Ahmed, AA Hussein… – BJU …, 2018 – Wiley Online Library
Objective To investigate and analyse the different ways surgeons communicate with bedside assistants during robot?assisted surgery (RAS). Methods We retrospectively reviewed video and audio recordings of 26 RAS procedures (23 prostatectomies and three cystectomies) …

Toward ethical natural language generation for human-robot interaction
T Williams – … ACM/IEEE International Conference on Human-Robot …, 2018 – dl.acm.org
Recent work on natural language generation algorithms for human-robot interaction has not considered the ethical implications of such algorithms. In this work, we argue that simply by asking for clarification, a robot may unintentionally communicate that it would be willing to …

Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
D Nyga, S Roy, R Paul, D Park… – … on Robot Learning, 2018 – proceedings.mlr.press
Our goal is to enable robots to interpret and execute high-level tasks conveyed using natural language instructions. For example, consider tasking a household robot to,“prepare my breakfast”,“clear the boxes on the table” or “make me a fruit milkshake”. Interpreting such …

Natural language instructions for human–robot collaborative manipulation
R Scalise, S Li, H Admoni… – … Journal of Robotics …, 2018 – journals.sagepub.com
This paper presents a dataset of natural language instructions for object reference in manipulation scenarios. It comprises 1582 individual written instructions, which were collected via online crowdsourcing. This dataset is particularly useful for researchers who …

Robot Program Construction via Grounded Natural Language Semantics & Simulation
M Pomarlan, J Bateman – … of the 17th International Conference on …, 2018 – dl.acm.org
Robots acting in semi-structured, human environments need to understand the effects of their actions and the instructions given by a human user. Simulation has been considered a promising reasoning technique to help tackle both problems. In this paper, we present a …

Situated Human–Robot Collaboration: predicting intent from grounded natural language
J Brawer, O Mangin, A Roncone… – … on Intelligent Robots …, 2018 – ieeexplore.ieee.org
Research in human teamwork shows that a key element of fluid and fluent interactions is the interpretation of implicit verbal and non-verbal cues in context. This poses an issue to robotic platforms, however, as they have historically worked best when controlled through explicit …

Semantic-based interaction for teaching robot behavior compositions using spoken language
V Paléologue, J Martin, AK Pandey… – … Conference on Social …, 2018 – Springer
By enabling users to teach behaviors to robots, social robots become more adaptable, and therefore more acceptable. We improved an application for teaching behaviors to support conditions closer to the real-world: it supports spoken instructions, and remain compatible …

Continually improving grounded natural language understanding through human-robot dialog
JD Thomason – 2018 – repositories.lib.utexas.edu
As robots become ubiquitous in homes and workplaces such as hospitals and factories, they must be able to communicate with humans. Several kinds of knowledge are required to understand and respond to a human’s natural language commands and questions. If a …

Why Care About Robots? Empathy, Moral Standing, and the Language of Suffering
M Coeckelbergh – Kairos. Journal of Philosophy & Science, 2018 – degruyter.com
This paper tries to understand the phenomenon that humans are able to empathize with robots and the intuition that there might be something wrong with “abusing” robots by discussing the question regarding the moral standing of robots. After a review of some …

Analysis of Influencing Factors on Humanoid Robots’ Emotion Expressions by Body Language
Z Zhang, Y Niu, S Wu, S Lin, L Kong – International Symposium on Neural …, 2018 – Springer
In addition to speech, nonverbal behaviors of the human like facial expressions and body languages can also express emotions in socializing. It is expected to be known whether humanoid robots can also express their emotions in Human-Robot Interaction (HRI). This is …

CoreRobotics: An object-oriented C++ library with cross-language wrappers for cross-platform robot control
P Owan, C Devine, WT Piaskowy – The Journal of Open Source Software, 2018 – theoj.org
Real-time controllers for robot manipulators are typically developed and implemented on a custom basis due to 1) the complexity of control in real application, and 2) requirement of only incremental changes in hardware and software as the design matures. Modular …

Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction
O Schürer, B Stangl, C Hubatschke, C Müller – Technologies, 2018 – mdpi.com
When using assistive systems, the consideration of individual and cultural meaning is crucial for the utility and acceptance of technology. Orientation, communication and interaction are rooted in perception and therefore always happen in material space. We understand that a …

Leveraging teenagers feedback in the development of a domain-specific language: the case of programming low-cost robots
A Bariši?, J Cambeiro, V Amaral, M Goulão… – Proceedings of the 33rd …, 2018 – dl.acm.org
Abstract Domain Specific Languages (DSLs) empower end-users to express software tasks that were traditionally developed by software engineers. DSLs allow users to express themselves in terms closer to the way they think about their problems, rather than in …

Experimental Evaluation of a Novel Personal Assistant in Greek Language for Ambient Assisted Living Environments employing home robots
A Spournias, K Christopoulos… – 2018 South-Eastern …, 2018 – ieeexplore.ieee.org
A personal assistance, is a software component offering advanced Human Machine Interface (HMI) features by initiating and making a” conversations” between humans and machines. Its main objective is to identify the sentences and the context from human’s …

A Natural Language Interaction Based Automatic Operating System for Industrial Robot
Y Lin, H Min, H Zhou, M Chen – International Conference on Intelligent …, 2018 – Springer
In this paper, an automatic operating system is designed for industrial robot using natural language. Some cutting-edge technologies, such as 3D visual perception, human-robot-environment interaction and auto-programming, are integrated into the design of automatic …

Context-sensitive Natural Language Generation for robot-assisted second language tutoring
B Willemsen, J de Wit, E Krahmer, M de Haas… – … NLG for Human–Robot …, 2018 – aclweb.org
This paper describes the L2TOR intelligent tutoring system (ITS), focusing primarily on its output generation module. The L2TOR ITS is developed for the purpose of investigating the efficacy of robot-assisted second language tutoring in early childhood. We explain the …

Adaptive Robot Second Language Tutoring for Children
T Schodde, S Kopp – … /IEEE International Conference on Human-Robot …, 2018 – dl.acm.org
Empirical evidence has demonstrated that learning with and from a physically present, interactive robot can be more effective than learning from classical on-screen media [6, 8]. In the L2TOR project wework on using the robot Nao to support second language learning, a …

Human-Robot Interaction through Natural Language Dialogue
O Özdemir – 2018 – tams.informatik.uni-hamburg.de
4. No support for situated language 5. No recognition of affective speech: no recognition or generation of emotional speeches 6. Almost no non-verbal communication capability such as gestures, gait and facial expressions 7. Usually stimulus-response dialogue systems (no …

Robot contact language for manipulation planning
E Najafi, A Shah, GAD Lopes – IEEE/ASME Transactions on …, 2018 – ieeexplore.ieee.org
The task of robotic manipulation planning combines high-level decision-making with low-level controllers that interact with the environment. Generating interfaces between these two paradigms is an active field of research in robotics. In this paper, we propose a contact …

Exploring Robot’s Playing Strategy with a Language Learning Robot Companion
T Tursynbekov, K Balkibekov, A Asatarov… – … on Human-Robot …, 2018 – dl.acm.org
This paper presents a preliminary study exploring playing strategy of a robot and the way it can affect a learning outcome of young adults. We developed a social robot that plays the role of a learning companion for a foreign language. We conducted a preliminary study …

A Natural Language Approach to Human-Robot Interaction
M Kohn – stl.htwsaar.de
With HRI experiencing a huge increase in interest over the last years, we have to think of ways how to improve our coexistence with robots. Since service robots are now applied in areas, where HRI has never played a major role before, new paradigms need to be …

Designing a playful robot application for second language learning
G Verhoeven, A Catala, M Theune – Interactivity, Game Creation, Design …, 2018 – Springer
Both storytelling and learning by teaching approaches have shown to be beneficial separately when integrating robots into learning settings. This paper discusses how to combine them, based on principles found in the literature, and presents the design and …

Language-Based Bidirectional Human and Robot Interaction Learning for Mobile Service Robots
V Perera – 2018 – reports-archive.adm.cs.cmu.edu
We believe that it is essential for robots that coexist with humans to be able to interact with their users seamlessly. This thesis advocates the use of language as a rich and natural interface for the interaction between robots and humans. We assume that a mobile service …

Towards Language Learning for Safety during Human-Robot Social Interaction
C Bothe, S Magg, C Weber, S Wermter – socrates-project.eu
This document is a progress report provided as a requirement of the SECURE EU Project. In this work, we tackle the problem of developing a dialogue system for robots with multivariate behavioral adaptation as a preliminary step towards potentially learning safety concepts for …

Natural Language Communication with Social Robots for Assisted Living
M Tewari, S Bensch – … International Conference on Intelligent Robots …, 2018 – diva-portal.org
We explore a new dialogue modelling approach for assistive social robots that enables us to formalize flexible conversation flows between a robot and a human. We achieve this by introducing an expectation mechanism to handle, for example, topic change, clarification …

The Bot Language Project: Moving Towards Natural Dialogue with Robots
C Henry, S Lukin, KA Pollard, C Bonial, A Foots… – cassidyhenry.com
This paper describes an ongoing project investigating bidirectional human-robot NL dialogue with the goal of providing more natural ways for humans to interact with robots. We present the experiment’s resulting corpus, current findings, and future work towards a fully …

Human interaction with shopping assistant robot in natural language
G Sidorov, I Markov, O Kolesnikova… – Journal of Intelligent & … – content.iospress.com
In spite of having been investigated for over fifty years, developing a robust spoken dialog management system remains an open research issue in robotics and natural language processing. In this paper, we present a language-independent spoken dialog management …

Exploring the affordances of telepresence robots in foreign language learning
X Lu – Language Learning & Technology, 2018 – researchgate.net
The importance of authentic communicative practices in foreign language (FL) learning has long been recognized. However, most FL learners lack adequate access to authentic communicative environments in the target language. In this article, we propose the use of …

The Use of Social Robots for Supporting Language Training of Children
S Kristin, I SOLHEIM – … our World Through Design, Diversity and …, 2018 – books.google.com
A number of studies have found that robots can contribute to engagement and motivation in educational settings. We wanted to explore the possibilities and challenges of using a social robot as an assistive tool for learning and training of basic concepts and words. Robots are …

Interactive Text2Pickup Networks for Natural Language-Based Human–Robot Collaboration
H Ahn, S Choi, N Kim, G Cha… – IEEE Robotics and …, 2018 – ieeexplore.ieee.org
In this letter, we propose the Interactive Text2Pickup (IT2P) network for human-robot collaboration that enables an effective interaction with a human user despite the ambiguity in user’s commands. We focus on the task where a robot is expected to pick up an object …

Language-modulated Actions using Deep Reinforcement Learning for Safer Human-Robot Interaction
MA Zamani, S Magg, C Weber, S Wermter – socrates-project.eu
Spoken language can be an efficient and intuitive way to warn robots about threats. Guidance and warnings from a human can be used to inform and modulate a robot’s actions. An open research question is how the instructions and warnings can be integrated in the …

Towards Understanding Syntactic Structure of Language in Human-Robot Interaction
A Aly, T Taniguchi, D Mochihashi – nips2018vigil.github.io
Robots are progressively moving into spaces that have been primarily shaped by human agency; they collaborate with human users in different tasks that require them to understand human language so as to behave appropriately in space. To this end, a stubborn challenge …

Teaching a Robot Sign Language using Vision-Based Hand Gesture Recognition
D Zhi, TEA de Oliveira, VP da Fonseca… – 2018 IEEE …, 2018 – ieeexplore.ieee.org
This paper presents a novel vision-based hand gesture recognition (HGR) and training system for a human-like robot hand. We implemented and trained a multiclass-SVM classifier and N-Dimensional DTW (ND-DTW) classifier for static posture recognition and …

Socially Interactive Robots Can Teach Young Students Language Skills; a Systematic Review
M Hein, D Nathan-Roberts – Proceedings of the Human …, 2018 – journals.sagepub.com
The goal of this systematic review is to consider whether social factors of robots allow the robots to be socially interactive language learning assistants for young students in the classroom. A total of 443 articles were found. After applying inclusion and exclusion criteria …

Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction
J Belakova, D Gkatzia – … of the Workshop on NLG for Human–Robot …, 2018 – aclweb.org
One of the most natural ways for human robot communication is through spoken language. Training human-robot interaction systems require access to large datasets which are expensive to obtain and labour intensive. In this paper, we describe an approach for …

A Survey On The Use Of Humanoid Robots With Multilingual Interaction Ability In Foreign Language Teaching
A Tuna – Proceedings of Teaching and Education Conferences, 2018 – ideas.repec.org
Studies show that humanoid robots can be quite useful for many teaching goals since they can be updated with the most current teaching techniques and knowledge, teach one-on-one, and do not get tired no matter how many mistakes students make. Although learning a …

EEG analysis of the Brain Language Processing oriented to Intelligent Teaching Robot
MK Syed, H Wang – … Conference on Intelligence and Safety for …, 2018 – ieeexplore.ieee.org
Here we present a robotic language teaching assistant that also monitor the EEG band relative power to check the concentration and interest level of its students during recall phase. If the concentration level of student is lower, the word can be repeated and presented …

A Natural Language Processing Method of Chinese Instruction for Multi-legged Manipulating Robot
W Li, K Xu, J Qi, X Ding – 2018 IEEE International Conference …, 2018 – ieeexplore.ieee.org
In this paper, a natural language processing (NLP) framework is proposed to build the Chinese natural language interaction between human and the multi-legged manipulating robot which has both locomotion and manipulation functions. The Chinese natural language  …

VLAS: A Vision-Language-Action Integrated System for Mobile Social Service Robots
KW Park, JY Choi, BJ Lee, CY Lee, I Hwang, BT Zhang – bi.snu.ac.kr
Due to the mobility and attractive appearance, recent mobile social service robots are suitable for performing human-robot interactive roles as required for domestic service robots, such as a waiter at restaurants or an elderly companion at home. However, commercialized …

Modeling and Development of a Spoken Natural Language Interface for Autonomous Robot Interaction
AS Brandão, AG Caldeira – … and 2018 Workshop on Robotics in …, 2018 – ieeexplore.ieee.org
Human-robot interaction with autonomous robots, based on spoken language, is an user intuitive approach to unlock further developments in the field of robotics, although still a challenging problem. The focus of the paper is at developing a spoken natural language  …

A deep learning approach for understanding natural language commands for mobile service robots
PH Martins, L Custódio, R Ventura – arXiv preprint arXiv:1807.03053, 2018 – arxiv.org
Using natural language to give instructions to robots is challenging, since natural language understanding is still largely an open problem. In this paper we address this problem by restricting our attention to commands modeled as one action, plus arguments (also known …

A Middleware to Link Lego Mindstorms Robots with 4th Generation Language Software NetLogo
SK Aslam, WJ Faithful, WJ Teahan – International Conference on …, 2018 – Springer
Lego Mindstorms has delivered low-cost amateur robotics to the public, where anyone can easily modify and develop new systems and extensions to extend its capabilities. However, no one has previously attempted to link a 4th generation agent-oriented language such as …

Towards Understanding Language through Perception in Situated Human-Robot Interaction: From Word Grounding to Grammar Induction
A Aly, T Taniguchi – arXiv preprint arXiv:1812.04840, 2018 – arxiv.org
Robots are widely collaborating with human users in diferent tasks that require high-level cognitive functions to make them able to discover the surrounding environment. A difcult challenge that we briefy highlight in this short paper is inferring the latent grammatical …

Using a Robot Peer to Encourage the Production of Spatial Concepts in a Second Language
CD Wallbridge, R van den Berghe… – Proceedings of the 6th …, 2018 – dl.acm.org
We conducted a study with 25 children to investigate the effectiveness of a robot measuring and encouraging production of spatial concepts in a second language compared to a human experimenter. Productive vocabulary is often not measured in second language  …

How does the robot feel? Perception of valence and arousal in emotional body language
M Marmpena, A Lim, TS Dahl – Paladyn, Journal of Behavioral Robotics – degruyter.com
Human-robot interaction in social robotics applications could be greatly enhanced by robotic behaviors that incorporate emotional body language. Using as our starting point a set of pre-designed, emotion conveying animations that have been created by professional animators …

Comparison on Effect of Eye Gaze Activities between Human-human and Human-robot Conversations in Second-Language
K Ijuin, S Fujio, AB Khalifa, T Kato… – … Multimodal Human Robot … – isca-speech.org
This paper examines how eye gaze activities are different in between human-human and humanrobot conversations in second language (L2). The results show that the mainly-gazed-at listener gazes more at the speaker and he/she takes more often a floor in L2 …

Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
X Zang, A Pokle, M Vázquez, K Chen… – arXiv preprint arXiv …, 2018 – arxiv.org
We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models to connect information from both the user instructions and a topological representation of the …

The Retention Effect of Learning Grammatical Patterns Implicitly Using Joining-in-Type Robot-Assisted Language-Learning System
AB Khalifa, T Kato, S Yamamoto – International Conference on Text …, 2018 – Springer
Conducting a multiparty conversation among two robots and a human learner for the purpose of language learning is a novel idea. It can help in conveying grammatical information to the human learner in an implicit manner. The main focus in this paper is the …

Depth Camera-Based Hand Gesture Recognition for Training a Robot to Perform Sign Language
D Zhi – 2018 – ruor.uottawa.ca
This thesis presents a novel depth camera-based real-time hand gesture recognition system for training a human-like robot hand to interact with humans through sign language. We developed a modular real-time Hand Gesture Recognition (HGR) system, which uses …

Using Multimodal Information to Support Spoken Dialogue Interaction between Humans and Robots without Intrusive Language processing
N Campbell – … on Artificial Intelligence for Multimodal Human Robot … – isca-speech.org
This position paper expounds our recent views on autonomous spoken dialogue processing without (or with only minimal use of) automatic speech recognition (ASR). It argues that autonomous systems can be trained to read non-verbal signals which facilitate transition …

HeyMoe: Leveraging virtual robot and game mechanics in mobile prototype application design for Chinese language learning
B Gong – 2018 – scholarworks.rit.edu
With the growth of internet technology, individuals currently have a better experience in using interactive systems like desktop computer software or mobile device applications than ever before. Moreover, using mobile phones in learning activities is becoming increasingly …

How We Talk with Robots: Eliciting Minimally-Constrained Speech to Build Natural Language Interfaces and Capabilities
KA Pollard, SM Lukin, M Marge… – Proceedings of the …, 2018 – journals.sagepub.com
Industry, military, and academia are showing increasing interest in collaborative human-robot teaming in a variety of task contexts. Designing effective user interfaces for human-robot interaction is an ongoing challenge, and a variety of single and multiple-modality …

Teach Your Robot Your Language! Trainable Neural Parser for Modelling Human Sentence Processing: Examples for 15 Languages
X Hinaut, J Twiefel – IEEE Transactions on Cognitive and Developmental …, 2018 – hal.inria.fr
We present a Recurrent Neural Network (RNN) that performs thematic role assignment and can be used for Human-Robot Interaction (HRI). The RNN is trained to map sentence structures to meanings (eg predicates). Previously, we have shown that the model is able to …

From High to Low Level and Vice-Versa: A New Language for the Translation between Abstraction Levels in Robot Control Architectures
JC González, J García, R Fuentetaja, A García-Olaya… – plg.inf.uc3m.es
The use of Planning, Execution and Monitoring architectures to control robotic platforms is becoming very popular. In most cases these architectures provide knowledge at two different levels of abstraction: high-level (deliberative planning), and low-level (robot sensing and …

The design of a storytelling and learning by teaching activity with a social robot as teachable main character, for primary school language learning
G Verhoeven – 2018 – essay.utwente.nl
This research is about the design of an activity for primary school second language learning. The activity is a combination of storytelling and learning by teaching, with a social robot as teachable main character. Both storytelling and learning by teaching with a social robot have …

… , the artificial structure must resemble to a human not only in the figure but moreover in expressed movements accomplishing a body language very close to that …
KP Nguyen, P Angelidis… – Annals of General …, 2018 – researchgate.net
Background: Robots as well-known are complex machines constituted of artificial parts and digital logic structures. Two key points need special attention in order an artificial humanoid to be finely developed. Firstly, the artificial structure must resemble to a human not only in …

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