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A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots

  • Published:2017-06 Issue: Volume:43 Page:232-249
  • ISSN:1389-0417
  • Container-title:Cognitive Systems Research
  • language:en
  • Short-container-title:Cognitive Systems Research

Author:

González José Carlos,Pulido José Carlos,Fernández Fernando

Funder

Spanish Ministerio de Economía y Competitividad

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference42 articles.

1. PELEA: Planning, learning and execution architecture;Alcázar,2010

2. Using cognitive architectures to improve robot control: Integrating production systems, semantic networks, and sub-symbolic processing;Avery,2006

3. Cognitive architecture for humanrobot interaction: Towards behavioural alignment;Baxter;Biologically Inspired Cognitive Architectures,2013

4. ADAPT: A cognitive architecture for robotics;Benjamin,2004

5. Charlie: An adaptive robot design with hand and face tracking for use in autism therapy;Boccanfuso;International Journal of Social Robotics,2011

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1. A gamified social robotics platform for intensive therapies in neurorehabilitation;Intelligent Service Robotics;2024-04-22

2. Assisted Robots in Therapies for Children with Autism in Early Childhood;Sensors;2024-02-26

3. Proposal of a Multimodal Interactive Architecture Based on a Social Indoor and Outdoor Navigation System;2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE);2023-10-09

4. A Systematic Literature Review of Decision-Making and Control Systems for Autonomous and Social Robots;International Journal of Social Robotics;2023-03-26

5. CogniDron-EEG: A system based on a brain–computer interface and a drone for cognitive training;Cognitive Systems Research;2023-03
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