prikaz prve stranice dokumenta High-dimensional trajectory optimization for robot motion planning based on Gaussian processes
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doctoral thesis
High-dimensional trajectory optimization for robot motion planning based on Gaussian processes
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:262919

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

Petrović, L. (2022). High-dimensional trajectory optimization for robot motion planning based on Gaussian processes (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:262919

Petrović, Luka. "High-dimensional trajectory optimization for robot motion planning based on Gaussian processes." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:262919

Petrović, Luka. "High-dimensional trajectory optimization for robot motion planning based on Gaussian processes." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:262919

Petrović, L. (2022). 'High-dimensional trajectory optimization for robot motion planning based on Gaussian processes', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 March 2024, https://urn.nsk.hr/urn:nbn:hr:168:262919

Petrović L. High-dimensional trajectory optimization for robot motion planning based on Gaussian processes [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 March 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:262919

L. Petrović, "High-dimensional trajectory optimization for robot motion planning based on Gaussian processes", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:262919

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