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Experimental evaluation of the success of peg-in-hole tasks learned from demonstration
SH Argüz, Ş Ertuğrul, K Altun - 2022 8th International …, 2022 - ieeexplore.ieee.org
Industrial robots are traditionally programmed by hard-coding the desired motion into them.
That approach, however, costs significant time and effort and shows little to no promise in …
That approach, however, costs significant time and effort and shows little to no promise in …
Robot Learning From Human Observation Using Deep Neural Networks
M Elachkar - 2022 - search.proquest.com
Industrial robots have gained traction in the last twenty years and have become an integral
component in any sector empowering automation. Specifically, the automotive industry …
component in any sector empowering automation. Specifically, the automotive industry …
Learning of Tasks With Robot Programming by Demonstration
SH Argüz - 2022 - search.proquest.com
Increasingly more unstructured environments of today's industry challenge the robots to
have the capability to dynamically adapt to variations in the part sizes and positions …
have the capability to dynamically adapt to variations in the part sizes and positions …
Experimental Evaluation of the Success of Peg-In Tasks Learned From Demonstration
SH Arguz, S Ertugrul, K Altun - 2022 8Th Internatıonal Conference …, 2022 - gcris.ieu.edu.tr
Industrial robots are traditionally programmed by hard-coding the desired motion into them.
That approach, however, costs significant time and effort and shows little to no promise in …
That approach, however, costs significant time and effort and shows little to no promise in …