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How has Artūras Straižys's publication output changed over time?
ScholarIQpublication output · 2019–2023
Output grew200% over the shown period — from 1 works in 2019 to 3 in 2023.
1
4
1
3
2019202020222023
What are the most-cited papers on Artūras Straižys?
ScholarIQmost cited works
Learning rewards from exploratory demonstrations using probabilistic temporal ranking
Michael Burke, Katie Lu, Daniel Angelov, Artūras Straižys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
S144091109. 202315 CitationsOPEN ACCESS
Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs using the Udwadia-Kalaba Method
Artūras Straižys, Michael Burke, Subramanian Ramamoorthy
20236 CitationsOPEN ACCESS
Learning robotic ultrasound scanning using probabilistic temporal ranking.
Michael Burke, Katie Lu, Daniel Angelov, Artūras Straižys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
arXiv (Cornell University). 20204 CitationsOPEN ACCESS
A generative force model for surgical skill quantification using sensorised instruments
Artūras Straižys, Michael Burke, Paul M. Brennan, Subramanian Ramamoorthy
Communications Engineering. 20232 CitationsOPEN ACCESS
Related on ScholarIQ
University of Edinburgh
Institution
Learning rewards from exploratory demonstrations using probabilistic temporal ranking
Paper
w3006184833
Paper
Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs using the Udwadia-Kalaba Method
Paper
Learning robotic ultrasound scanning using probabilistic temporal ranking.
Paper
A generative force model for surgical skill quantification using sensorised instruments
Paper