Improving Task-Agnostic Energy Shaping Control of Powered Exoskeletons With Task/Gait Classification

Jianping Lin, Robert D. Gregg, Peter B. Shull

Open source

DOI: 10.1109/lra.2024.3414259
Published: 2024-08
Container: IEEE Robotics and Automation Letters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/lra.2024.3414259,
  title = {Improving Task-Agnostic Energy Shaping Control of Powered Exoskeletons With Task/Gait Classification},
  author = {Jianping Lin and Robert D. Gregg and Peter B. Shull},
  year = {2024},
  journal = {IEEE Robotics and Automation Letters},
  doi = {10.1109/lra.2024.3414259},
  url = {https://doi.org/10.1109/lra.2024.3414259}
}

RIS

TY  - JOUR
TI  - Improving Task-Agnostic Energy Shaping Control of Powered Exoskeletons With Task/Gait Classification
AU  - Jianping Lin
AU  - Robert D. Gregg
AU  - Peter B. Shull
PY  - 2024
JO  - IEEE Robotics and Automation Letters
DO  - 10.1109/lra.2024.3414259
UR  - https://doi.org/10.1109/lra.2024.3414259
ER  -

APA

Lin, J., Gregg, R. D., & Shull, P. B. (2024). Improving Task-Agnostic Energy Shaping Control of Powered Exoskeletons With Task/Gait Classification. IEEE Robotics and Automation Letters. https://doi.org/10.1109/lra.2024.3414259

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crossref · retrieved 2026-11-10T11:34:04.322Z