Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323065865> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4323065865 endingPage "8" @default.
- W4323065865 startingPage "1" @default.
- W4323065865 abstract "Learning-based grip force measurement methods in robot-assisted minimally invasive surgery (RAMIS) outperforms the traditional model-based methods and avoids the application issues of sensor-based approaches. However, few studies have investigated the problem of grip force measurement in mass-produced surgical instruments. This letter takes the difference in motion hysteresis and mechanism friction among mass-produced surgical instruments into account, and proposes a novel learning-based method ACAM-FoC. ACAM-FoC is an augmentation of CAM-FoC, which is a high accuracy lightweight network proposed in our preceding research. Loss function monotonicity limitation is introduced to alleviate the negative effect of unbalance training data. Offiline experiments are conducted to verify the effectiveness and the advantages over other two existing methods. Online experiments on the self-developed surgical robot system are conducted to preliminarily realize and verify the grip force measurement and feedback in real time. The results support the importance of grip force feedback in leader-follower operation tasks." @default.
- W4323065865 created "2023-03-05" @default.
- W4323065865 creator A5008597054 @default.
- W4323065865 creator A5015629203 @default.
- W4323065865 creator A5015918098 @default.
- W4323065865 creator A5021531143 @default.
- W4323065865 date "2023-01-01" @default.
- W4323065865 modified "2023-10-15" @default.
- W4323065865 title "ACAM-FoC: A Deep Neural Network Augmented from CAM-FoC to Measure the Grip Force of Mass-produced Elongated Surgical Instruments" @default.
- W4323065865 cites W1560270123 @default.
- W4323065865 cites W1964047266 @default.
- W4323065865 cites W2095971486 @default.
- W4323065865 cites W2100976018 @default.
- W4323065865 cites W2396363971 @default.
- W4323065865 cites W2409079095 @default.
- W4323065865 cites W2586782891 @default.
- W4323065865 cites W2626194638 @default.
- W4323065865 cites W2736506089 @default.
- W4323065865 cites W2789029145 @default.
- W4323065865 cites W2792809830 @default.
- W4323065865 cites W2795232811 @default.
- W4323065865 cites W2811346271 @default.
- W4323065865 cites W2894708666 @default.
- W4323065865 cites W2909099255 @default.
- W4323065865 cites W2909118190 @default.
- W4323065865 cites W2991555530 @default.
- W4323065865 cites W3001366587 @default.
- W4323065865 cites W3011569291 @default.
- W4323065865 cites W3091689077 @default.
- W4323065865 cites W3097115989 @default.
- W4323065865 cites W3114585584 @default.
- W4323065865 cites W3133999431 @default.
- W4323065865 cites W3156666779 @default.
- W4323065865 cites W3209804762 @default.
- W4323065865 cites W4245630123 @default.
- W4323065865 cites W4285729249 @default.
- W4323065865 doi "https://doi.org/10.1109/lra.2023.3252364" @default.
- W4323065865 hasPublicationYear "2023" @default.
- W4323065865 type Work @default.
- W4323065865 citedByCount "0" @default.
- W4323065865 crossrefType "journal-article" @default.
- W4323065865 hasAuthorship W4323065865A5008597054 @default.
- W4323065865 hasAuthorship W4323065865A5015629203 @default.
- W4323065865 hasAuthorship W4323065865A5015918098 @default.
- W4323065865 hasAuthorship W4323065865A5021531143 @default.
- W4323065865 hasConcept C124101348 @default.
- W4323065865 hasConcept C127413603 @default.
- W4323065865 hasConcept C154945302 @default.
- W4323065865 hasConcept C2780009758 @default.
- W4323065865 hasConcept C41008148 @default.
- W4323065865 hasConcept C44154836 @default.
- W4323065865 hasConcept C50644808 @default.
- W4323065865 hasConcept C90509273 @default.
- W4323065865 hasConceptScore W4323065865C124101348 @default.
- W4323065865 hasConceptScore W4323065865C127413603 @default.
- W4323065865 hasConceptScore W4323065865C154945302 @default.
- W4323065865 hasConceptScore W4323065865C2780009758 @default.
- W4323065865 hasConceptScore W4323065865C41008148 @default.
- W4323065865 hasConceptScore W4323065865C44154836 @default.
- W4323065865 hasConceptScore W4323065865C50644808 @default.
- W4323065865 hasConceptScore W4323065865C90509273 @default.
- W4323065865 hasFunder F4320321001 @default.
- W4323065865 hasLocation W43230658651 @default.
- W4323065865 hasOpenAccess W4323065865 @default.
- W4323065865 hasPrimaryLocation W43230658651 @default.
- W4323065865 hasRelatedWork W2348134434 @default.
- W4323065865 hasRelatedWork W2353047492 @default.
- W4323065865 hasRelatedWork W2354779444 @default.
- W4323065865 hasRelatedWork W2365966014 @default.
- W4323065865 hasRelatedWork W2386387936 @default.
- W4323065865 hasRelatedWork W2394386606 @default.
- W4323065865 hasRelatedWork W2899084033 @default.
- W4323065865 hasRelatedWork W4281381717 @default.
- W4323065865 hasRelatedWork W4312079304 @default.
- W4323065865 hasRelatedWork W1629725936 @default.
- W4323065865 isParatext "false" @default.
- W4323065865 isRetracted "false" @default.
- W4323065865 workType "article" @default.