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RITA 2018 pp 161-169 | Cite as

Data Linking Testing Between Humanoid Robot and IoRT Network Server for Autism Telerehabilitation System Development

Conference paper
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Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The autism prevalence and rapid progress in technology lead to the growing research of robot-mediated telerehabilitation system for autism therapy. This solution aims to overcome the distance barrier between autism patients and their therapist to serve as a practical telerehabilitation system. Meanwhile, the Internet of Robotics Things (IoRT) has been identified as the suitable instrument for connectivity of multiple robotic devices in development of physical telerehabilitation system; capable of providing machine-to-machine (M2M) communication and intelligent data processing in telerehabilitation environment. In related study, NAO robot is employed as the “things” to facilitate remote communication and physical interaction between autism patient and therapist thru IoRT network server. However, the technical issue on two-ways communication between this humanoid robot and IoRT network server has remains as the fundamental problem that prevents robot actuators and sensors to be remotely control and manipulate by therapist. Hence, viable data transfer between them cannot be tested. Therefore, a data linking testing between NAO Robot and IoRT network servers such as Microsoft Azure and ThingSpeak is conducted. The proposed data linking concept consists of data communication through NAO Operating System (OS) NAOqi APIs, Python SDKs, and IoRT network architectures. It enables two-ways communication between NAO robot and IoRT networks. The result shows that a set of data sent from NAO robot through Python SDK can be visualized in graph form at ThingSpeak website and vice versa. The result also supported by the back and forth data transfer between NAO robot dummy and Microsoft Azure network. These results proved that the interchange data between NAO OS NAOqi and IoRT network through Python SDK is feasible.

Notes

Acknowledgements

The authors gratefully acknowledge the Ministry of Education Malaysia (MOE) for the fund received through the Niche Research Grant Scheme (NRGS), [Project file: 600-RMI/NRGS 5/3 (1/2013)], Prototype Research Grant Scheme (PRGS), [Project file: 600-IRMI/PRGS 5/3 (4/2016)], Fundamental Research Grant Scheme (FRGS), [Project file: 600-IRMI/FRGS 5/3 (97/2017)], COE of Humanoid Robot and Bio-Sensing (HuRoBs), Universiti Teknologi MARA (UiTM), Universiti Teknikal Malaysia Melaka and Universiti Putra Malaysia for their support.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Faculty of Mechanical Engineering, Center for Humanoid Robots and Bio-sensing (HuRoBs)Universiti Teknologi MARASelangorMalaysia
  2. 2.Faculty of Mechanical EngineeringUniversiti Teknologi MARATerengganuMalaysia
  3. 3.Faculty of Manufacturing EngineeringUniversiti Teknikal Malaysia MelakaMelakaMalaysia
  4. 4.Faculty of EngineeringUniversiti Putra MalaysiaSelangorMalaysia

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