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Found 7 papers, 0 papers with code
Proceeding of the 1st Workshop on Social Robots Personalisation At the crossroads between engineering and humanities (CONCATENATE)
However, achieving personalisation is arduous as it requires us to expand the boundaries of robotics by taking advantage of the expertise of various domains.
Robot self/other distinction: active inference meets neural networks learning in a mirror
Self/other distinction and self-recognition are important skills for interacting with the world, as it allows humans to differentiate own actions from others and be self-aware.
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine
In this work, we investigate the generation of tactile hallucinations on biologically inspired, artificial skin.
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures.
Active inference body perception and action for humanoid robots
We present an active inference body perception and action model working for the first time in a humanoid robot.
Sensorimotor learning for artificial body perception
Artificial self-perception is the machine ability to perceive its own body, i. e., the mastery of modal and intermodal contingencies of performing an action with a specific sensors/actuators body configuration.
Attention-based Active Visual Search for Mobile Robots
In this paper, we propose a new model that actively extracts visual information via visual attention techniques and, in conjunction with a non-myopic decision-making algorithm, leads the robot to search more relevant areas of the environment.
