research
∙
08/21/2023
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 socia...
share
research
∙
07/10/2023
Proceeding of the 1st Workshop on Social Robots Personalisation At the crossroads between engineering and humanities (CONCATENATE)
Nowadays, robots are expected to interact more physically, cognitively, ...
research
∙
02/11/2023
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications
Human-robot interaction (HRI) research is progressively addressing multi...
research
∙
09/12/2022
HandMime: Sign Language Fingerspelling Acquisition via Imitation Learning
Learning fine-grained movements is among the most challenging topics in ...
research
∙
09/01/2022
CASPER: Cognitive Architecture for Social Perception and Engagement in Robots
Our world is being increasingly pervaded by intelligent robots with vary...
research
∙
03/11/2022
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
Signed Language Processing (SLP) concerns the automated processing of si...
research
∙
10/14/2021
Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research
Technological progress increasingly envisions the use of robots interact...
research
∙
10/01/2021
Phonology Recognition in American Sign Language
Inspired by recent developments in natural language processing, we propo...
research
∙
05/07/2021
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
The trustworthiness of Robots and Autonomous Systems (RAS) has gained a ...
research
∙
01/26/2021
When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions
Trust is a critical issue in Human Robot Interactions as it is the core ...
research
∙
08/26/2020
At Your Service: Coffee Beans Recommendation From a Robot Assistant
With advances in the field of machine learning, precisely algorithms for...
research
∙
08/05/2020
A Robot that Counts Like a Child – a Developmental Model of Counting and Pointing
In this paper, a novel neuro-robotics model capable of counting real ite...
research
∙
06/20/2020
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives
The acquisition of symbolic and linguistic representations of sensorimot...
research
∙
08/20/2019
Human activity recognition from skeleton poses
Human Action Recognition is an important task of Human Robot Interaction...
research
∙
08/15/2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction
Deep reinforcement learning has proven to be a great success in allowing...
research
∙
07/09/2019
Influence of Pointing on Learning to Count: A Neuro-Robotics Model
In this paper a neuro-robotics model capable of counting using gestures ...
research
∙
07/09/2019
A Deep Neural Network for Finger Counting and Numerosity Estimation
In this paper, we present neuro-robotics models with a deep artificial n...
research
∙
04/17/2018
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Studies suggest that within the hierarchical architecture, the topologic...
research
∙
04/11/2018
AFA-PredNet: The action modulation within predictive coding
The predictive processing (PP) hypothesizes that the predictive inferenc...
research
∙
09/12/2017
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers
Group emotion recognition in the wild is a challenging problem, due to t...
research
∙
09/11/2017
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Landing an unmanned aerial vehicle (UAV) on a ground marker is an open p...
research
∙
06/08/2017
Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping
Humans and animals are constantly exposed to a continuous stream of sens...
research
∙
02/07/2017
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
The abstraction tasks are challenging for multi- modal sequences as they...
research
∙
05/11/2016
