Learning RL policies for anticipative assistive robots by simulating human-robot interactions in real scenarios using egocentric videos-Reference-Cited by-同舟云学术

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Learning RL policies for anticipative assistive robots by simulating human-robot interactions in real scenarios using egocentric videos

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
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Author:

Abal-Fernández Silvia¹,Caramazana-Zarzosa César¹,Loureiro-Casalderrey María Beatriz¹,Martínez Santiago²,Balaguer Carlos²,Díaz-de-María Fernando¹,González-Díaz Iván¹

Affiliation:

1. Universidad Carlos III de Madrid,Signal Theory and Communications Department,Spain

2. Universidad Carlos III de Madrid,Robotics Lab,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354348/10354529/10354837.pdf?arnumber=10354837

Reference23 articles.

1. Major Trends in Population Growth Around the World

2. Barriers and facilitators to the implementation of social robots for older adults and people with dementia: a scoping review

3. Learning and Personalizing Socially Assistive Robot Behaviors to Aid with Activities of Daily Living

4. Reinforcement Learning Approaches in Social Robotics

5. The chef’s hat simulation environment for reinforcement-learning-based agents;Barros,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulación de interacción humano-robot basada en la mirada en entornos virtuales;Jornadas de Automática;2024-07-12

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