Cargando…

Pragmatic Frames for Teaching and Learning in Human–Robot Interaction: Review and Challenges

One of the big challenges in robotics today is to learn from human users that are inexperienced in interacting with robots but yet are often used to teach skills flexibly to other humans and to children in particular. A potential route toward natural and efficient learning and teaching in Human-Robo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vollmer, Anna-Lisa, Wrede, Britta, Rohlfing, Katharina J., Oudeyer, Pierre-Yves
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2016
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046941/ https://www.ncbi.nlm.nih.gov/pubmed/27752242 http://dx.doi.org/10.3389/fnbot.2016.00010

Ejemplares similares

An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
por: Rohlfing, Katharina J., et al.
Publicado: (2016)

Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning
por: Vollmer, Anna-Lisa, et al.
Publicado: (2014)

Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots
por: Santucci, Vieri Giuliano, et al.
Publicado: (2020)

Editorial: Shared Autonomy— Learning of Joint Action and Human-Robot Collaboration
por: Schilling, Malte, et al.
Publicado: (2019)

Intrinsically Motivated Exploration of Learned Goal Spaces
por: Laversanne-Finot, Adrien, et al.
Publicado: (2021)

Performance and Usability of Various Robotic Arm Control Modes from Human Force Signals
por: Mick, Sébastien, et al.
Publicado: (2017)

Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue
por: Groß, André, et al.
Publicado: (2023)

In Search of the Neural Circuits of Intrinsic Motivation
por: Kaplan, Frederic, et al.
Publicado: (2007)

What is Intrinsic Motivation? A Typology of Computational Approaches
por: Oudeyer, Pierre-Yves, et al.
Publicado: (2007)

Do Shy Preschoolers Interact Differently When Learning Language With a Social Robot? An Analysis of Interactional Behavior and Word Learning
por: Tolksdorf, Nils F., et al.
Publicado: (2021)

The effects of task difficulty, novelty and the size of the search space on intrinsically motivated exploration
por: Baranes, Adrien F., et al.
Publicado: (2014)

Accuracy of Robotic and Frame-Based Stereotactic Neurosurgery in a Phantom Model
por: Spyrantis, Andrea, et al.
Publicado: (2022)

Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans
por: Kerzel, Matthias, et al.
Publicado: (2020)

Analytic Challenges Arising from the STOP CRC Trial: Pragmatic Solutions for Pragmatic Problems
por: Vollmer, William M., et al.
Publicado: (2015)

Active learning and decision making: an introduction to the collection
por: Gottlieb, Jacqueline, et al.
Publicado: (2015)

Biological Plausibility of Arm Postures Influences the Controllability of Robotic Arm Teleoperation
por: Mick, Sébastien, et al.
Publicado: (2020)

Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models
por: Najnin, Shamima, et al.
Publicado: (2018)

Human-robot interaction methodology: Robot teaching activity
por: Velentza, Anna-Maria, et al.
Publicado: (2022)

Pragmatics in language teaching /
Publicado: (2001)

Editorial: Modeling Play in Early Infant Development
por: Shaw, Patricia, et al.
Publicado: (2020)

Can Machines Think? Interaction and Perspective Taking with Robots Investigated via fMRI
por: Krach, Sören, et al.
Publicado: (2008)

Humans monitor learning progress in curiosity-driven exploration
por: Ten, Alexandr, et al.
Publicado: (2021)

Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies
por: Mick, Sébastien, et al.
Publicado: (2019)

Is it the picture or is it the frame? An fMRI study on the neurobiology of framing effects
por: Silveira, Sarita, et al.
Publicado: (2015)

Challenges in assessing population reach in a pragmatic trial
por: Green, Beverly B., et al.
Publicado: (2019)

A Multi-Directional and Agile Academic Knowledge Transfer Strategy for Healthcare Technology
por: Klemme, Isabel, et al.
Publicado: (2021)

Role of Reference Frames for a Safe Human–Robot Interaction
por: Borboni, Alberto, et al.
Publicado: (2023)

A human-centered safe robot reinforcement learning framework with interactive behaviors
por: Gu, Shangding, et al.
Publicado: (2023)

Framing orientation selectivity
por: de Lange, Floris P, et al.
Publicado: (2018)

Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement
por: Ivaldi, Serena, et al.
Publicado: (2014)

A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics
por: Beckerle, Philipp, et al.
Publicado: (2017)

Res-FLNet: human-robot interaction and collaboration for multi-modal sensing robot autonomous driving tasks based on learning control algorithm
por: Wang, Shulei
Publicado: (2023)

Learning modular policies for robotics
por: Neumann, Gerhard, et al.
Publicado: (2014)

Incorrect ICBM-DTI-81 atlas orientation and white matter labels
por: Rohlfing, T.
Publicado: (2013)

Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model
por: Khamassi, Mehdi, et al.
Publicado: (2011)

Editorial: Neuroergonomics in Human-Robot Interaction
por: Barresi, Giacinto, et al.
Publicado: (2022)

Deep causal learning for robotic intelligence
por: Li, Yangming
Publicado: (2023)

The framing effect and skin conductance responses
por: Ring, Patrick
Publicado: (2015)

Framing the ultimatum game: the contribution of simulation
por: Tomasino, Barbara, et al.
Publicado: (2013)

A multimodal human-robot sign language interaction framework applied in social robots
por: Li, Jie, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ku3cfbkjf11mlefr0sb138mb8t