FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3115481033> ?p ?o ?g. }

• W3115481033 endingPage "12645" @default.
• W3115481033 startingPage "12636" @default.
• W3115481033 abstract "Mobile medical robots have been widely used in various structured scenarios, such as hospital drug delivery, public area disinfection, and medical examinations. Considering the challenge of environment modeling and controller design, how to achieve the information from the human demonstration in a structured environment directly arouse our interests. Learning skills is a powerful way that can reduce the complexity of algorithm in searching space. This is especially true when naturally acquiring new skills, as mobile medical robot must learn from the interaction with a human being or the environment with limited programming effort. In this article, a learning scheme with nonlinear model predictive control (NMPC) is proposed for mobile robot path tracking. The learning-by-imitation system consists of two levels of hierarchy: in the first level, a multivirtual spring-dampers system is presented for imitation of the mobile robot's trajectories; and in the second level, the NMPC method is used in the motion control system. The NMPC strategy utilizes a varying-parameter one-layer projection neural network to solve an online quadratic programming optimization via iteration over a limited receding horizon. The proposed algorithm is evaluated on a mobile medical robot with an emulated trajectory in simulation and three scenarios used in the experiment." @default.
• W3115481033 created "2021-01-05" @default.
• W3115481033 creator A5013497581 @default.
• W3115481033 creator A5015663174 @default.
• W3115481033 creator A5045080493 @default.
• W3115481033 creator A5050652350 @default.
• W3115481033 creator A5056537333 @default.
• W3115481033 creator A5083795699 @default.
• W3115481033 creator A5090855504 @default.
• W3115481033 date "2021-12-01" @default.
• W3115481033 modified "2023-10-17" @default.
• W3115481033 title "Nonlinear Model Predictive Control for Mobile Medical Robot Using Neural Optimization" @default.
• W3115481033 cites W1894373409 @default.
• W3115481033 cites W1966439878 @default.
• W3115481033 cites W2001359285 @default.
• W3115481033 cites W2027457629 @default.
• W3115481033 cites W2027701333 @default.
• W3115481033 cites W2044480792 @default.
• W3115481033 cites W2056625347 @default.
• W3115481033 cites W2058804598 @default.
• W3115481033 cites W2060914855 @default.
• W3115481033 cites W2128677288 @default.
• W3115481033 cites W2130726249 @default.
• W3115481033 cites W2178305293 @default.
• W3115481033 cites W2312797433 @default.
• W3115481033 cites W2405909743 @default.
• W3115481033 cites W2769154133 @default.
• W3115481033 cites W2804521413 @default.
• W3115481033 cites W2914963784 @default.
• W3115481033 cites W2989955313 @default.
• W3115481033 cites W2997320126 @default.
• W3115481033 cites W3015901891 @default.
• W3115481033 cites W3028377707 @default.
• W3115481033 cites W3048422314 @default.
• W3115481033 cites W3049745790 @default.
• W3115481033 cites W3084211445 @default.
• W3115481033 cites W4211133235 @default.
• W3115481033 cites W4250630375 @default.
• W3115481033 doi "https://doi.org/10.1109/tie.2020.3044776" @default.
• W3115481033 hasPublicationYear "2021" @default.
• W3115481033 type Work @default.
• W3115481033 sameAs 3115481033 @default.
• W3115481033 citedByCount "27" @default.
• W3115481033 countsByYear W31154810332021 @default.
• W3115481033 countsByYear W31154810332022 @default.
• W3115481033 countsByYear W31154810332023 @default.
• W3115481033 crossrefType "journal-article" @default.
• W3115481033 hasAuthorship W3115481033A5013497581 @default.
• W3115481033 hasAuthorship W3115481033A5015663174 @default.
• W3115481033 hasAuthorship W3115481033A5045080493 @default.
• W3115481033 hasAuthorship W3115481033A5050652350 @default.
• W3115481033 hasAuthorship W3115481033A5056537333 @default.
• W3115481033 hasAuthorship W3115481033A5083795699 @default.
• W3115481033 hasAuthorship W3115481033A5090855504 @default.
• W3115481033 hasBestOaLocation W31154810332 @default.
• W3115481033 hasConcept C121332964 @default.
• W3115481033 hasConcept C126255220 @default.
• W3115481033 hasConcept C127413603 @default.
• W3115481033 hasConcept C1276947 @default.
• W3115481033 hasConcept C133731056 @default.
• W3115481033 hasConcept C13662910 @default.
• W3115481033 hasConcept C147168706 @default.
• W3115481033 hasConcept C154945302 @default.
• W3115481033 hasConcept C172205157 @default.
• W3115481033 hasConcept C19966478 @default.
• W3115481033 hasConcept C203479927 @default.
• W3115481033 hasConcept C2775924081 @default.
• W3115481033 hasConcept C33923547 @default.
• W3115481033 hasConcept C41008148 @default.
• W3115481033 hasConcept C47446073 @default.
• W3115481033 hasConcept C50644808 @default.
• W3115481033 hasConcept C6557445 @default.
• W3115481033 hasConcept C81845259 @default.
• W3115481033 hasConcept C86803240 @default.
• W3115481033 hasConcept C90509273 @default.
• W3115481033 hasConceptScore W3115481033C121332964 @default.
• W3115481033 hasConceptScore W3115481033C126255220 @default.
• W3115481033 hasConceptScore W3115481033C127413603 @default.
• W3115481033 hasConceptScore W3115481033C1276947 @default.
• W3115481033 hasConceptScore W3115481033C133731056 @default.
• W3115481033 hasConceptScore W3115481033C13662910 @default.
• W3115481033 hasConceptScore W3115481033C147168706 @default.
• W3115481033 hasConceptScore W3115481033C154945302 @default.
• W3115481033 hasConceptScore W3115481033C172205157 @default.
• W3115481033 hasConceptScore W3115481033C19966478 @default.
• W3115481033 hasConceptScore W3115481033C203479927 @default.
• W3115481033 hasConceptScore W3115481033C2775924081 @default.
• W3115481033 hasConceptScore W3115481033C33923547 @default.
• W3115481033 hasConceptScore W3115481033C41008148 @default.
• W3115481033 hasConceptScore W3115481033C47446073 @default.
• W3115481033 hasConceptScore W3115481033C50644808 @default.
• W3115481033 hasConceptScore W3115481033C6557445 @default.
• W3115481033 hasConceptScore W3115481033C81845259 @default.
• W3115481033 hasConceptScore W3115481033C86803240 @default.
• W3115481033 hasConceptScore W3115481033C90509273 @default.
• W3115481033 hasIssue "12" @default.
• W3115481033 hasLocation W31154810331 @default.
• W3115481033 hasLocation W31154810332 @default.

• next