Matches in SemOpenAlex for { <https://semopenalex.org/work/W2888897706> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2888897706 abstract "Hand-arm robot have been widely used in many fields to replace humanbeings to perform various tasks. Abundant researches have been made to better the robot services. However, when providing the same service, robot grasping process should be optimized to save robot labor like human movements. In this paper, we proposed a support vector machine (SVM) based algorithm to train hand-arm robot to perform optimal grasping process. Grasping experiments using a JACO2 robot arm and a KG-3 gripper are made. Joint torque data are recorded and labeled. SVM is used to separate the optimal label from nonoptimal label. The optimal grasping area are thereafter found. In this case, we could save robot labor and serving life is extended. The effectiveness and accuracy of the support vector machine based algorithm were further verified by a branch of following grasping experiments. The results show that the proposed method could correctly predict the optimal grasping area." @default.
- W2888897706 created "2018-09-07" @default.
- W2888897706 creator A5036359599 @default.
- W2888897706 creator A5055247454 @default.
- W2888897706 creator A5057832933 @default.
- W2888897706 creator A5083968188 @default.
- W2888897706 creator A5088459124 @default.
- W2888897706 date "2017-07-01" @default.
- W2888897706 modified "2023-09-24" @default.
- W2888897706 title "Optimal Hand-Arm Robot Grasping Area Prediction Using Support Vector Machine" @default.
- W2888897706 cites W1604938182 @default.
- W2888897706 cites W1646080224 @default.
- W2888897706 cites W1967344706 @default.
- W2888897706 cites W2026553971 @default.
- W2888897706 cites W2055522016 @default.
- W2888897706 cites W2057411395 @default.
- W2888897706 cites W2077658674 @default.
- W2888897706 cites W2112308206 @default.
- W2888897706 cites W2139086916 @default.
- W2888897706 cites W2139212933 @default.
- W2888897706 cites W2151783584 @default.
- W2888897706 cites W2156909104 @default.
- W2888897706 cites W2291085970 @default.
- W2888897706 cites W2426031434 @default.
- W2888897706 doi "https://doi.org/10.1109/cyber.2017.8446309" @default.
- W2888897706 hasPublicationYear "2017" @default.
- W2888897706 type Work @default.
- W2888897706 sameAs 2888897706 @default.
- W2888897706 citedByCount "0" @default.
- W2888897706 crossrefType "proceedings-article" @default.
- W2888897706 hasAuthorship W2888897706A5036359599 @default.
- W2888897706 hasAuthorship W2888897706A5055247454 @default.
- W2888897706 hasAuthorship W2888897706A5057832933 @default.
- W2888897706 hasAuthorship W2888897706A5083968188 @default.
- W2888897706 hasAuthorship W2888897706A5088459124 @default.
- W2888897706 hasConcept C111919701 @default.
- W2888897706 hasConcept C121332964 @default.
- W2888897706 hasConcept C12267149 @default.
- W2888897706 hasConcept C144171764 @default.
- W2888897706 hasConcept C150415221 @default.
- W2888897706 hasConcept C154945302 @default.
- W2888897706 hasConcept C19966478 @default.
- W2888897706 hasConcept C25592040 @default.
- W2888897706 hasConcept C2776228582 @default.
- W2888897706 hasConcept C41008148 @default.
- W2888897706 hasConcept C65401140 @default.
- W2888897706 hasConcept C90509273 @default.
- W2888897706 hasConcept C97355855 @default.
- W2888897706 hasConcept C98045186 @default.
- W2888897706 hasConceptScore W2888897706C111919701 @default.
- W2888897706 hasConceptScore W2888897706C121332964 @default.
- W2888897706 hasConceptScore W2888897706C12267149 @default.
- W2888897706 hasConceptScore W2888897706C144171764 @default.
- W2888897706 hasConceptScore W2888897706C150415221 @default.
- W2888897706 hasConceptScore W2888897706C154945302 @default.
- W2888897706 hasConceptScore W2888897706C19966478 @default.
- W2888897706 hasConceptScore W2888897706C25592040 @default.
- W2888897706 hasConceptScore W2888897706C2776228582 @default.
- W2888897706 hasConceptScore W2888897706C41008148 @default.
- W2888897706 hasConceptScore W2888897706C65401140 @default.
- W2888897706 hasConceptScore W2888897706C90509273 @default.
- W2888897706 hasConceptScore W2888897706C97355855 @default.
- W2888897706 hasConceptScore W2888897706C98045186 @default.
- W2888897706 hasLocation W28888977061 @default.
- W2888897706 hasOpenAccess W2888897706 @default.
- W2888897706 hasPrimaryLocation W28888977061 @default.
- W2888897706 hasRelatedWork W11342464 @default.
- W2888897706 hasRelatedWork W1573533467 @default.
- W2888897706 hasRelatedWork W1589892169 @default.
- W2888897706 hasRelatedWork W1636732294 @default.
- W2888897706 hasRelatedWork W2014755626 @default.
- W2888897706 hasRelatedWork W2099647706 @default.
- W2888897706 hasRelatedWork W2246630144 @default.
- W2888897706 hasRelatedWork W2396855555 @default.
- W2888897706 hasRelatedWork W2534372765 @default.
- W2888897706 hasRelatedWork W2738277484 @default.
- W2888897706 hasRelatedWork W2749717868 @default.
- W2888897706 hasRelatedWork W2751348014 @default.
- W2888897706 hasRelatedWork W2770172507 @default.
- W2888897706 hasRelatedWork W2891746250 @default.
- W2888897706 hasRelatedWork W2911047357 @default.
- W2888897706 hasRelatedWork W2935239770 @default.
- W2888897706 hasRelatedWork W3016522044 @default.
- W2888897706 hasRelatedWork W3092704193 @default.
- W2888897706 hasRelatedWork W649838360 @default.
- W2888897706 hasRelatedWork W3115422939 @default.
- W2888897706 isParatext "false" @default.
- W2888897706 isRetracted "false" @default.
- W2888897706 magId "2888897706" @default.
- W2888897706 workType "article" @default.