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Artificial Intelligence
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment …
Carlo Mazzola
,
Marta Romeo
,
Francesco Rea
,
Alessandra Sciutti
,
Angelo Cangelosi
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DOI
ICJNN 2023
Tuning-less Object Naming with a Foundation Model
We implement a real-time object naming system that enables learning a set of named entities never seen. Our approach employs an …
Andrej Lúčny
,
Pavel Petrovič
PDF
DOI
arXiv
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
Multimodal integration is a key component of allowing robots to perceive the world. Multimodality comes with multiple challenges that …
Josua Spisak
,
Matthias Kerzel
,
Stefan Wermter
PDF
DOI
ICANN 2023
CycleIK: Neuro-inspired Inverse Kinematics
The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) …
Jan-Gerrit Habekost
,
Erik Strahl
,
Philipp Allgeuer
,
Matthias Kerzel
,
Stefan Wermter
PDF
DOI
ICANN 2023
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Application of neural networks in industrial settings, such as automated factories with bin-picking solutions requires costly …
Peter Kravár
,
Lukáš Gajdošech
,
Martin Madaras
DOI
ICANN 2023
QuasiNet: a Neural Network with Trainable Product Layers
Classical neural networks achieve only limited convergence in hard problems such as XOR or parity when the number of hidden neurons is …
Kristína Malinovská
,
Slavomír Holenda
,
Ľudovít Malinovský
DOI
ICANN 2023
Robot at the Mirror: Learning to Imitate via Associating Self-Supervised Models
We introduce an approach to building a custom model from ready-made self-supervised models via their associating instead of training …
Andrej Lúčny
,
Kristína Malinovská
,
Igor Farkaš
DOI
ICANN 2023
Safe Reinforcement Learning in a Simulated Robotic Arm
Reinforcement learning (RL) agents need to explore their environments in order to learn optimal policies. In many environments and …
Luka Kovač
,
Igor Fargaš
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DOI
ICANN 2023
Controlling the Output of a Generative Model by Latent Feature Vector Shifting
State-of-the-art generative models (e.g. StyleGAN3) often generate photorealistic images based on vectors sampled from their latent …
Robert Belanec
,
Peter Lacko
,
Kristína Malinovská
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DOI
DISA 2023
Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
As robots are expected to get more involved in people’s everyday lives, frameworks that enable intuitive user interfaces are in demand. …
Hassan Ali
,
Doreen Jirak
,
Stefan Wermter
PDF
DOI
Cognitive Computation
»
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