Cite this DOI

Sri Harsha Grandhi, Dinesh Kumar Reddy Basani, Raj Kumar Gudivaka, Rajya Lakshmi Gudivaka, Basava Ramanjaneyulu Gudivaka, Sundarapandian Murugesan, & M M Kamruzzaman (2025). Adaptive Robot-Assisted Telerehabilitation System Using Model Predictive Control and Digital Twin for Personalized Upper Limb Therapy. *Journal of Science & Technology*, *10*(2), 86–94. https://doi.org/10.46243/jst.2025.v10.i02.pp86-94.1185

@article{sriharshagrandhi2025adaptive,
  author    = {Sri Harsha Grandhi and Dinesh Kumar Reddy Basani and Raj Kumar Gudivaka and Rajya Lakshmi Gudivaka and Basava Ramanjaneyulu Gudivaka and Sundarapandian Murugesan and M M Kamruzzaman},
  title     = {{Adaptive Robot-Assisted Telerehabilitation System Using Model Predictive Control and Digital Twin for Personalized Upper Limb Therapy}},
  journal   = {Journal of Science \& Technology},
  year      = {2025},
  month     = {feb},
  volume    = {10},
  number    = {2},
  pages     = {86--94},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2025.v10.i02.pp86-94.1185},
  url       = {https://doi.org/10.46243/jst.2025.v10.i02.pp86-94.1185},
  abstract  = {Smart rehabilitation systems have revolutionized the delivery of upper limb therapy, with treatments that aremore accurate, adaptive, and patient-focused. An advanced rehabilitation system integrating Model PredictiveControl (MPC), Digital Twin visualization, and Augmented Reality (AR) interfaces ensures personalized andadaptive therapy. Real-time data are processed by the system with low latency of 10 ms, reducing X, Y, and Zaxes trajectory tracking errors. The system changes treatment from 80 units to 79.85 units according to thepatient's level of fatigue (0.5) and enhances comfort and rehabilitation results.}
}

TY  - JOUR
TI  - Adaptive Robot-Assisted Telerehabilitation System Using Model Predictive Control and Digital Twin for Personalized Upper Limb Therapy
AU  - Sri Harsha Grandhi
AU  - Dinesh Kumar Reddy Basani
AU  - Raj Kumar Gudivaka
AU  - Rajya Lakshmi Gudivaka
AU  - Basava Ramanjaneyulu Gudivaka
AU  - Sundarapandian Murugesan
AU  - M M Kamruzzaman
JO  - Journal of Science & Technology
PY  - 2025
DA  - 2025/02/28/
VL  - 10
IS  - 2
SP  - 86
EP  - 94
PB  - Longman Publishers
SN  - 2456-5660
AB  - Smart rehabilitation systems have revolutionized the delivery of upper limb therapy, with treatments that aremore accurate, adaptive, and patient-focused. An advanced rehabilitation system integrating Model PredictiveControl (MPC), Digital Twin visualization, and Augmented Reality (AR) interfaces ensures personalized andadaptive therapy. Real-time data are processed by the system with low latency of 10 ms, reducing X, Y, and Zaxes trajectory tracking errors. The system changes treatment from 80 units to 79.85 units according to thepatient's level of fatigue (0.5) and enhances comfort and rehabilitation results.
DO  - 10.46243/jst.2025.v10.i02.pp86-94.1185
UR  - https://doi.org/10.46243/jst.2025.v10.i02.pp86-94.1185
ER  -

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    "id": "10.46243/jst.2025.v10.i02.pp86-94.1185",
    "DOI": "10.46243/jst.2025.v10.i02.pp86-94.1185",
    "URL": "https://doi.org/10.46243/jst.2025.v10.i02.pp86-94.1185",
    "title": "Adaptive Robot-Assisted Telerehabilitation System Using Model Predictive Control and Digital Twin for Personalized Upper Limb Therapy",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Sri Harsha Grandhi"
        },
        {
            "family": "Dinesh Kumar Reddy Basani"
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        {
            "family": "Raj Kumar Gudivaka"
        },
        {
            "family": "Rajya Lakshmi Gudivaka"
        },
        {
            "family": "Basava Ramanjaneyulu Gudivaka"
        },
        {
            "family": "Sundarapandian Murugesan"
        },
        {
            "family": "M M Kamruzzaman"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2025,
                2,
                28
            ]
        ]
    },
    "volume": "10",
    "issue": "2",
    "page": "86-94",
    "publisher": "Longman Publishers",
    "abstract": "Smart rehabilitation systems have revolutionized the delivery of upper limb therapy, with treatments that aremore accurate, adaptive, and patient-focused. An advanced rehabilitation system integrating Model PredictiveControl (MPC), Digital Twin visualization, and Augmented Reality (AR) interfaces ensures personalized andadaptive therapy. Real-time data are processed by the system with low latency of 10 ms, reducing X, Y, and Zaxes trajectory tracking errors. The system changes treatment from 80 units to 79.85 units according to thepatient's level of fatigue (0.5) and enhances comfort and rehabilitation results.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2025.v10.i02.pp86-94.1185 gives all four in one JSON answer.