Matches in SemOpenAlex for { <https://semopenalex.org/work/W2093564441> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W2093564441 endingPage "1045" @default.
- W2093564441 startingPage "1036" @default.
- W2093564441 abstract "This paper deals with the problem of modeling and identification for industrial robots with indirect drive mechanisms (e.g., gear transmissions), where the motor-side behavior may deviate from the load-side (i.e., end effector) behavior due to the robot joint dynamics. In this case, the motor-side sensors alone are not sufficient for directly obtaining the load-side behavior. We call such problems incomplete data problems since some key information (i.e., the load-side behaviors) is missing during the identification process. This paper, thus, presents a procedure for identifying robot models even with limited load-side information. It begins by describing the relationship between the missing information and the available measurements using a Gaussian dynamic model. Then, the expectation-maximization algorithm is applied to handle the parameter estimation problem in the presence of missing information. Various relaxation techniques are utilized to alleviate the computational complexity of the algorithm. The effectiveness of the proposed method is demonstrated on three real-world problems in industrial automation, namely the gain tuning of the Kalman filter, the friction identification, and the self-calibration of load-side inertial sensors." @default.
- W2093564441 created "2016-06-24" @default.
- W2093564441 creator A5029127365 @default.
- W2093564441 creator A5064077634 @default.
- W2093564441 date "2015-06-01" @default.
- W2093564441 modified "2023-09-24" @default.
- W2093564441 title "Probabilistic Approach to Modeling and Parameter Learning of Indirect Drive Robots From Incomplete Data" @default.
- W2093564441 cites W1540764732 @default.
- W2093564441 cites W1749494163 @default.
- W2093564441 cites W1949550558 @default.
- W2093564441 cites W1963718895 @default.
- W2093564441 cites W1984672166 @default.
- W2093564441 cites W1985690171 @default.
- W2093564441 cites W1995104608 @default.
- W2093564441 cites W2094118003 @default.
- W2093564441 cites W2095342761 @default.
- W2093564441 cites W2099269638 @default.
- W2093564441 cites W2116154037 @default.
- W2093564441 cites W2128019145 @default.
- W2093564441 cites W2132294818 @default.
- W2093564441 cites W2140123645 @default.
- W2093564441 cites W2151664215 @default.
- W2093564441 cites W2152670243 @default.
- W2093564441 cites W2167808181 @default.
- W2093564441 cites W2171564645 @default.
- W2093564441 cites W2331780167 @default.
- W2093564441 cites W4250589301 @default.
- W2093564441 doi "https://doi.org/10.1109/tmech.2014.2366138" @default.
- W2093564441 hasPublicationYear "2015" @default.
- W2093564441 type Work @default.
- W2093564441 sameAs 2093564441 @default.
- W2093564441 citedByCount "3" @default.
- W2093564441 countsByYear W20935644412015 @default.
- W2093564441 countsByYear W20935644412018 @default.
- W2093564441 countsByYear W20935644412022 @default.
- W2093564441 crossrefType "journal-article" @default.
- W2093564441 hasAuthorship W2093564441A5029127365 @default.
- W2093564441 hasAuthorship W2093564441A5064077634 @default.
- W2093564441 hasConcept C119857082 @default.
- W2093564441 hasConcept C154945302 @default.
- W2093564441 hasConcept C41008148 @default.
- W2093564441 hasConcept C49937458 @default.
- W2093564441 hasConcept C90509273 @default.
- W2093564441 hasConceptScore W2093564441C119857082 @default.
- W2093564441 hasConceptScore W2093564441C154945302 @default.
- W2093564441 hasConceptScore W2093564441C41008148 @default.
- W2093564441 hasConceptScore W2093564441C49937458 @default.
- W2093564441 hasConceptScore W2093564441C90509273 @default.
- W2093564441 hasIssue "3" @default.
- W2093564441 hasLocation W20935644411 @default.
- W2093564441 hasOpenAccess W2093564441 @default.
- W2093564441 hasPrimaryLocation W20935644411 @default.
- W2093564441 hasRelatedWork W1575659177 @default.
- W2093564441 hasRelatedWork W2029619274 @default.
- W2093564441 hasRelatedWork W2961085424 @default.
- W2093564441 hasRelatedWork W3046775127 @default.
- W2093564441 hasRelatedWork W4205958290 @default.
- W2093564441 hasRelatedWork W4286629047 @default.
- W2093564441 hasRelatedWork W4290792893 @default.
- W2093564441 hasRelatedWork W4306321456 @default.
- W2093564441 hasRelatedWork W4306674287 @default.
- W2093564441 hasRelatedWork W4224009465 @default.
- W2093564441 hasVolume "20" @default.
- W2093564441 isParatext "false" @default.
- W2093564441 isRetracted "false" @default.
- W2093564441 magId "2093564441" @default.
- W2093564441 workType "article" @default.