FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200199148> ?p ?o ?g. }

• W4200199148 endingPage "2214" @default.
• W4200199148 startingPage "2189" @default.
• W4200199148 abstract "Abstract Lower-body exoskeleton control that adapts to users and provides assistance-as-needed can increase user participation and motor learning and allow for more effective gait rehabilitation. Adaptive model-based control methods have previously been developed to consider a user’s interaction with an exoskeleton; however, the predefined dynamics models required are challenging to define accurately, due to the complex dynamics and nonlinearities of the human-exoskeleton interaction. Model-free deep reinforcement learning (DRL) approaches can provide accurate and robust control in robotics applications and have shown potential for lower-body exoskeletons. In this paper, we present a new model-free DRL method for end-to-end learning of desired gait patterns for over-ground gait rehabilitation with an exoskeleton. This control technique is the first to accurately track any gait pattern desired in physiotherapy without requiring a predefined dynamics model and is robust to varying post-stroke individuals’ baseline gait patterns and their interactions and perturbations. Simulated experiments of an exoskeleton paired to a musculoskeletal model show that the DRL method is robust to different post-stroke users and is able to accurately track desired gait pattern trajectories both seen and unseen in training." @default.
• W4200199148 created "2021-12-31" @default.
• W4200199148 creator A5051160234 @default.
• W4200199148 creator A5061187299 @default.
• W4200199148 creator A5069962841 @default.
• W4200199148 date "2021-12-15" @default.
• W4200199148 modified "2023-10-01" @default.
• W4200199148 title "A model-free deep reinforcement learning approach for control of exoskeleton gait patterns" @default.
• W4200199148 cites W1580648284 @default.
• W4200199148 cites W1953836885 @default.
• W4200199148 cites W1964851054 @default.
• W4200199148 cites W1965711297 @default.
• W4200199148 cites W2017957151 @default.
• W4200199148 cites W2044202433 @default.
• W4200199148 cites W2044917881 @default.
• W4200199148 cites W2081254081 @default.
• W4200199148 cites W2083113971 @default.
• W4200199148 cites W2084399420 @default.
• W4200199148 cites W2094320519 @default.
• W4200199148 cites W2099726059 @default.
• W4200199148 cites W2138983889 @default.
• W4200199148 cites W2142114107 @default.
• W4200199148 cites W2147917322 @default.
• W4200199148 cites W2148033546 @default.
• W4200199148 cites W2150513221 @default.
• W4200199148 cites W2151906934 @default.
• W4200199148 cites W2215653643 @default.
• W4200199148 cites W2298526555 @default.
• W4200199148 cites W2343715419 @default.
• W4200199148 cites W2412086654 @default.
• W4200199148 cites W2413248676 @default.
• W4200199148 cites W2571921956 @default.
• W4200199148 cites W2584260839 @default.
• W4200199148 cites W2700163520 @default.
• W4200199148 cites W2733817478 @default.
• W4200199148 cites W2739330054 @default.
• W4200199148 cites W2773166896 @default.
• W4200199148 cites W2791500836 @default.
• W4200199148 cites W2801779985 @default.
• W4200199148 cites W2843356123 @default.
• W4200199148 cites W2856797079 @default.
• W4200199148 cites W2884696611 @default.
• W4200199148 cites W2884876207 @default.
• W4200199148 cites W2885067862 @default.
• W4200199148 cites W2886482541 @default.
• W4200199148 cites W2887893628 @default.
• W4200199148 cites W2897728674 @default.
• W4200199148 cites W2901258812 @default.
• W4200199148 cites W2905420863 @default.
• W4200199148 cites W2908949019 @default.
• W4200199148 cites W2911087563 @default.
• W4200199148 cites W2922067396 @default.
• W4200199148 cites W2933140680 @default.
• W4200199148 cites W2945224141 @default.
• W4200199148 cites W2946362902 @default.
• W4200199148 cites W2952505933 @default.
• W4200199148 cites W2954346924 @default.
• W4200199148 cites W2958043083 @default.
• W4200199148 cites W2963411833 @default.
• W4200199148 cites W2970449425 @default.
• W4200199148 cites W2975206006 @default.
• W4200199148 cites W2980766741 @default.
• W4200199148 cites W2984081955 @default.
• W4200199148 cites W2985713881 @default.
• W4200199148 cites W2989872983 @default.
• W4200199148 cites W2993384677 @default.
• W4200199148 cites W3003647188 @default.
• W4200199148 cites W3003887935 @default.
• W4200199148 cites W3008492644 @default.
• W4200199148 cites W3010781003 @default.
• W4200199148 cites W3011315623 @default.
• W4200199148 cites W3012380813 @default.
• W4200199148 cites W3017205653 @default.
• W4200199148 cites W3040691659 @default.
• W4200199148 cites W3047949941 @default.
• W4200199148 cites W3089971874 @default.
• W4200199148 cites W3101442004 @default.
• W4200199148 cites W3112128648 @default.
• W4200199148 cites W3120778962 @default.
• W4200199148 cites W4300892751 @default.
• W4200199148 cites W4302798968 @default.
• W4200199148 cites W755046805 @default.
• W4200199148 doi "https://doi.org/10.1017/s0263574721001600" @default.
• W4200199148 hasPublicationYear "2021" @default.
• W4200199148 type Work @default.
• W4200199148 citedByCount "5" @default.
• W4200199148 countsByYear W42001991482022 @default.
• W4200199148 countsByYear W42001991482023 @default.
• W4200199148 crossrefType "journal-article" @default.
• W4200199148 hasAuthorship W4200199148A5051160234 @default.
• W4200199148 hasAuthorship W4200199148A5061187299 @default.
• W4200199148 hasAuthorship W4200199148A5069962841 @default.
• W4200199148 hasConcept C127413603 @default.
• W4200199148 hasConcept C146549078 @default.
• W4200199148 hasConcept C151800584 @default.
• W4200199148 hasConcept C154945302 @default.
• W4200199148 hasConcept C1862650 @default.
• W4200199148 hasConcept C2775862927 @default.

• next