Print Email Facebook Twitter Exobuddy - A Non-Anthropomorphic Quasi-Passive Exoskeleton for Load Carrying Assistance Title Exobuddy - A Non-Anthropomorphic Quasi-Passive Exoskeleton for Load Carrying Assistance Author van Diik, W. van de Wijdeven, T. Hölscher, M.M. Barents, R. Könemann, R. Krause, F. Koerhuis, C.L. Publication year 2018 Abstract The load that is carried in military backpacks has drastically increased over the years. Besides energy expenditure, load carriage increases joint loading which has been associated with an increased risk on injuries, discomfort, and reduced task performance. To support soldiers during load carrying, exoskeletons have been proposed. The use of exoskeletons for load carrying is limited since current active exoskeletons have the disadvantage that their power requirements make them unsuitable for long use and (quasi-)passive exoskeletons have mainly focused on metabolic cost. In this paper we present the Exobuddy exoskeleton. The Exobuddy transfers a part of the load directly to the ground. The Exobuddy mechanism is quasi-passive and thereby eliminates the need for large energy sources associated with active exoskeletons. The Exobuddy was evaluated in indoor and outdoor conditions, each completed by four subjects. Exobuddy unloaded the subjects by transferring on average approximately 30% (130 N) of the load to the ground with a maximum of 53% right after heel strike. The energy drawn from the human body to power the quasi-passive mechanism led only to a small, non-significant, increase in energy expenditure. Although not significant, carrying loads with Exobuddy was perceived less exerted and more comfortable compared to carrying loads with the current backpack. © 2018 IEEE. Subject WorkplaceRoboticsActive exoskeletonEnergy expenditureJoint loadingLoad carriageMetabolic costPassive mechanismPower requirementTask performanceExoskeleton To reference this document use: http://resolver.tudelft.nl/uuid:3e6e27bb-cd27-4b58-bf28-06c059e760ef DOI https://doi.org/10.1109/biorob.2018.8487794 TNO identifier 843729 Publisher IEEE Computer Society ISBN 21551774 Source Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics : 7th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BIOROB 2018, 26 August 2018 through 29 August 2018, 336-341 Article number 8487794 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.