Zobrazeno 1 - 10
of 674
pro vyhledávání: '"Bonarini A"'
Publikováno v:
Paladyn, Vol 12, Iss 1, Pp 187-198 (2021)
Robots have been used for many years in therapeutic activities with people with Autism Spectrum Disorder. However, most robots presented in the literature have limited or no mobility, are made of rigid materials, or are too expensive for many care ce
Externí odkaz:
https://doaj.org/article/6f07af512c4d461aa6104aad9915b23b
Efficient object level representation for monocular semantic simultaneous localization and mapping (SLAM) still lacks a widely accepted solution. In this paper, we propose the use of an efficient representation, based on structural points, for the ge
Externí odkaz:
http://arxiv.org/abs/2206.10263
Autor:
Ramicic, Mirza, Bonarini, Andrea
Faced with an ever-increasing complexity of their domains of application, artificial learning agents are now able to scale up in their ability to process an overwhelming amount of information coming from their interaction with an environment. However
Externí odkaz:
http://arxiv.org/abs/2102.11232
MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) experiments. Compared to other available libraries, MushroomRL has been created with the purpose of providing a comp
Externí odkaz:
http://arxiv.org/abs/2001.01102
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
Externí odkaz:
https://doaj.org/article/5cde25f9009146448339cdcb19c83d52
Autor:
Ramicic, Mirza, Bonarini, Andrea
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems (2021) 1-12
Online reinforcement learning agents are currently able to process an increasing amount of data by converting it into a higher order value functions. This expansion of the information collected from the environment increases the agent's state space e
Externí odkaz:
http://arxiv.org/abs/1912.12719
There is a growing interest in social robots to be considered in the therapy of children with autism due to their effectiveness in improving the outcomes. However, children on the spectrum exhibit challenging behaviors that need to be considered when
Externí odkaz:
http://arxiv.org/abs/1904.09621
Autor:
Ramicic, Mirza, Bonarini, Andrea
Publikováno v:
In Neural Networks February 2023
Publikováno v:
In Information Sciences September 2021 573:194-221
Publikováno v:
Data in Brief, Vol 43, Iss , Pp 108420- (2022)
Human activity recognition is attracting increasing research attention. Many activity recognition datasets have been created to support the development and evaluation of new algorithms. Given the lack of datasets collected in real environments (In Th
Externí odkaz:
https://doaj.org/article/f4d99d5bb16542928dff9262ac0385c7