Hybrid actuation paradigm in back-assist exoskeleton for symmetric loading conditions - a feasibility study

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dc.contributor.author Dhal, Arpeet
dc.contributor.author Mamidi, Teja Krishna
dc.contributor.author Vashista, Vineet
dc.coverage.spatial United States of America
dc.date.accessioned 2025-07-25T11:43:49Z
dc.date.available 2025-07-25T11:43:49Z
dc.date.issued 2025-05-12
dc.identifier.citation Dhal, Arpeet; Mamidi, Teja Krishna and Vashista, Vineet, "Hybrid actuation paradigm in back-assist exoskeleton for symmetric loading conditions - a feasibility study", in the IEEE International Conference On Rehabilitation Robotics (ICORR 2025), Chicago, US, May 12-16, 2025.
dc.identifier.uri https://doi.org/10.1109/ICORR66766.2025.11063108
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/11678
dc.description.abstract The mandates of safety standards in manual material handling tasks have spurred the development and commercialization of many back-assist exoskeletons. These devices prevent back pain injuries by redistributing the applied loads, reducing the effort and fatigue in heavy and repetitive loading tasks. The majority of them employ passive and active actuation paradigms. The passive ones are known for better transparency and energy efficiency, while the active ones provide a higher degree of assistance and quickly adapt to task severities. The present work investigates the feasibility of a hybrid actuation paradigm for load-carriage under symmetric loading conditions. The preliminary results suggest that the proposed modifications to an existing passive exoskeleton effectively economize energy expenditure and improve adaptability.
dc.description.statementofresponsibility by Arpeet Dhal, Teja Krishna Mamidi and Vineet Vashista
dc.language.iso en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.subject Quasipassive
dc.subject Exoskeleton
dc.subject Load-carriage
dc.subject Hybrid actuation
dc.title Hybrid actuation paradigm in back-assist exoskeleton for symmetric loading conditions - a feasibility study
dc.type Conference Paper
dc.relation.journal IEEE International Conference On Rehabilitation Robotics (ICORR 2025)


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