Robot–robot gesturing for anchoring representations
P Kondaxakis, K Gulzar, S Kinauer… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In a multirobot system, using shared symbols for objects in the environment is a prerequisite
for collaboration. Sharing symbols requires that each agent has anchored a symbol with an …
for collaboration. Sharing symbols requires that each agent has anchored a symbol with an …
Now you feel it, now you don't: How observing human-robot interactions and human-human interactions can make you feel eerie
S Quadflieg, I Ul-Haq, N Mavridis - Interaction Studies, 2016 - jbe-platform.com
Robots seemingly in possession of an experiential mind, as well as humans allegedly
incapable thereof, have been reported to elicit feelings of eeriness in their perceivers. The …
incapable thereof, have been reported to elicit feelings of eeriness in their perceivers. The …
Neurotypical and autistic children aged 6 to 7 years in a speaker-listener situation with a human or a minimalist InterActor robot
I Giannopulu, V Montreynaud… - The 23rd IEEE …, 2014 - ieeexplore.ieee.org
Language offers the possibility to transfer information between speaker and listener who
both possess the ability to use it. Using a “speaker-listener” situation, we have compared the …
both possess the ability to use it. Using a “speaker-listener” situation, we have compared the …
Learning adjectives and nouns from affordances on the icub humanoid robot
O Yürüten, KF Uyanık, Y Çalışkan… - From Animals to Animats …, 2012 - Springer
This article studies how a robot can learn nouns and adjectives in language. Towards this
end, we extended a framework that enabled robots to learn affordances from its …
end, we extended a framework that enabled robots to learn affordances from its …
Visual re-identification of individual objects: A core problem for organisms and AI
C Fields - Cognitive processing, 2016 - Springer
Two open questions about the visual re-identification of individual objects over extended
time periods are briefly reviewed:(1) How much a priori information about the nature of …
time periods are briefly reviewed:(1) How much a priori information about the nature of …
Evolving grounded spatial language strategies
M Spranger - KI-Künstliche Intelligenz, 2013 - Springer
Each natural language phrase is evidence for a particular strategy of construing reality. One
domain where this has been extensively studied is spatial language, which reveals an …
domain where this has been extensively studied is spatial language, which reveals an …
Why we should build robots that both teach and learn
In this paper, we argue in favor of creating robots that both teach and learn. We propose a
methodology for building robots that can learn a skill from an expert, perform the skill …
methodology for building robots that can learn a skill from an expert, perform the skill …
Interactive language understanding with multiple timescale recurrent neural networks
S Heinrich, S Wermter - Artificial Neural Networks and Machine Learning …, 2014 - Springer
Natural language processing in the human brain is complex and dynamic. Models for
understanding, how the brain's architecture acquires language, need to take into account …
understanding, how the brain's architecture acquires language, need to take into account …
Hierarchical action learning by instruction through interactive grounding of body parts and proto-actions
Learning by instruction allows humans programming a robot to achieve a task using spoken
language, without the requirement of being able to do the task themselves, which can be …
language, without the requirement of being able to do the task themselves, which can be …
Analysing the multiple timescale recurrent neural network for embodied language understanding
How the human brain understands natural language and how we can exploit this
understanding for building intelligent grounded language systems is open research …
understanding for building intelligent grounded language systems is open research …