Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387653020> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4387653020 endingPage "364" @default.
- W4387653020 startingPage "352" @default.
- W4387653020 abstract "With the development of artificial intelligence, reinforcement learning plays an increasingly important role in the robot operation filed. In this paper, a trajectory optimization method based on local dynamic model fitting is proposed to improve sample utilization and reduce the difficulty of dynamic model learning. Firstly, the Gaussian mixture model of the robot was constructed, and based on this, the accurate local dynamics model was obtained through the Normal-inverse-wishart distribution. Secondly, LQR optimization algorithm was used to optimize the robot trajectory, and the optimal control strategy was obtained during the grasping process of the robot. Finally, the effectiveness of the proposed algorithm is verified on the dynamic simulation platform. The experimental results show that the method proposed in this paper can significantly improve sample utilization and learning efficiency." @default.
- W4387653020 created "2023-10-16" @default.
- W4387653020 creator A5001940406 @default.
- W4387653020 creator A5045614770 @default.
- W4387653020 creator A5064138796 @default.
- W4387653020 creator A5068080851 @default.
- W4387653020 creator A5072406974 @default.
- W4387653020 date "2023-01-01" @default.
- W4387653020 modified "2023-10-16" @default.
- W4387653020 title "Robot Trajectory Optimization with Reinforcement Learning Based on Local Dynamic Fitting" @default.
- W4387653020 cites W1520597402 @default.
- W4387653020 cites W1949804828 @default.
- W4387653020 cites W2012392077 @default.
- W4387653020 cites W2016765487 @default.
- W4387653020 cites W2027457629 @default.
- W4387653020 cites W2049633694 @default.
- W4387653020 cites W2063591749 @default.
- W4387653020 cites W2077544344 @default.
- W4387653020 cites W2108579172 @default.
- W4387653020 cites W2121196653 @default.
- W4387653020 cites W2591436094 @default.
- W4387653020 cites W2911087563 @default.
- W4387653020 cites W3002817389 @default.
- W4387653020 cites W3130337292 @default.
- W4387653020 cites W3132045372 @default.
- W4387653020 doi "https://doi.org/10.1007/978-981-99-6495-6_30" @default.
- W4387653020 hasPublicationYear "2023" @default.
- W4387653020 type Work @default.
- W4387653020 citedByCount "0" @default.
- W4387653020 crossrefType "book-chapter" @default.
- W4387653020 hasAuthorship W4387653020A5001940406 @default.
- W4387653020 hasAuthorship W4387653020A5045614770 @default.
- W4387653020 hasAuthorship W4387653020A5064138796 @default.
- W4387653020 hasAuthorship W4387653020A5068080851 @default.
- W4387653020 hasAuthorship W4387653020A5072406974 @default.
- W4387653020 hasConcept C111919701 @default.
- W4387653020 hasConcept C121332964 @default.
- W4387653020 hasConcept C126255220 @default.
- W4387653020 hasConcept C1276947 @default.
- W4387653020 hasConcept C13662910 @default.
- W4387653020 hasConcept C154945302 @default.
- W4387653020 hasConcept C185592680 @default.
- W4387653020 hasConcept C187523126 @default.
- W4387653020 hasConcept C198531522 @default.
- W4387653020 hasConcept C2775924081 @default.
- W4387653020 hasConcept C33923547 @default.
- W4387653020 hasConcept C39920418 @default.
- W4387653020 hasConcept C41008148 @default.
- W4387653020 hasConcept C43617362 @default.
- W4387653020 hasConcept C47446073 @default.
- W4387653020 hasConcept C74650414 @default.
- W4387653020 hasConcept C90509273 @default.
- W4387653020 hasConcept C97541855 @default.
- W4387653020 hasConcept C98045186 @default.
- W4387653020 hasConceptScore W4387653020C111919701 @default.
- W4387653020 hasConceptScore W4387653020C121332964 @default.
- W4387653020 hasConceptScore W4387653020C126255220 @default.
- W4387653020 hasConceptScore W4387653020C1276947 @default.
- W4387653020 hasConceptScore W4387653020C13662910 @default.
- W4387653020 hasConceptScore W4387653020C154945302 @default.
- W4387653020 hasConceptScore W4387653020C185592680 @default.
- W4387653020 hasConceptScore W4387653020C187523126 @default.
- W4387653020 hasConceptScore W4387653020C198531522 @default.
- W4387653020 hasConceptScore W4387653020C2775924081 @default.
- W4387653020 hasConceptScore W4387653020C33923547 @default.
- W4387653020 hasConceptScore W4387653020C39920418 @default.
- W4387653020 hasConceptScore W4387653020C41008148 @default.
- W4387653020 hasConceptScore W4387653020C43617362 @default.
- W4387653020 hasConceptScore W4387653020C47446073 @default.
- W4387653020 hasConceptScore W4387653020C74650414 @default.
- W4387653020 hasConceptScore W4387653020C90509273 @default.
- W4387653020 hasConceptScore W4387653020C97541855 @default.
- W4387653020 hasConceptScore W4387653020C98045186 @default.
- W4387653020 hasLocation W43876530201 @default.
- W4387653020 hasOpenAccess W4387653020 @default.
- W4387653020 hasPrimaryLocation W43876530201 @default.
- W4387653020 hasRelatedWork W2031695474 @default.
- W4387653020 hasRelatedWork W2138720691 @default.
- W4387653020 hasRelatedWork W2586732548 @default.
- W4387653020 hasRelatedWork W2687915465 @default.
- W4387653020 hasRelatedWork W2903025760 @default.
- W4387653020 hasRelatedWork W3142528978 @default.
- W4387653020 hasRelatedWork W4306904969 @default.
- W4387653020 hasRelatedWork W4323768008 @default.
- W4387653020 hasRelatedWork W4362501864 @default.
- W4387653020 hasRelatedWork W4380318855 @default.
- W4387653020 isParatext "false" @default.
- W4387653020 isRetracted "false" @default.
- W4387653020 workType "book-chapter" @default.