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Cited by in F6Publishing
For: Rose L, Bazzocchi MCF, Nejat G. A model-free deep reinforcement learning approach for control of exoskeleton gait patterns. Robotica. [DOI: 10.1017/s0263574721001600] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhang Q, Nalam V, Tu X, Li M, Si J, Lewek MD, Huang HH. Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance. IEEE Robot Autom Lett 2022;7:11126-33. [DOI: 10.1109/lra.2022.3196105] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Li J, He Y, Sun J, Li P, Wu X. A dual-drive four joint time-sharing control walking power-assisted flexible exoskeleton robot system. Robotica. [DOI: 10.1017/s0263574722000704] [Reference Citation Analysis]
3 Gao M, Wang Z, Pang Z, Sun J, Li J, Li S, Zhang H. Electrically Driven Lower Limb Exoskeleton Rehabilitation Robot Based on Anthropomorphic Design. Machines 2022;10:266. [DOI: 10.3390/machines10040266] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]