doctoral thesis
Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:261340

Petković, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

Petković, T. (2022). Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:261340

Petković, Tomislav. "Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:261340

Petković, Tomislav. "Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:261340

Petković, T. (2022). 'Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 08 February 2023, https://urn.nsk.hr/urn:nbn:hr:168:261340

Petković T. Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2023 February 08] Available at: https://urn.nsk.hr/urn:nbn:hr:168:261340

T. Petković, "Human action and motion prediction in industrial human-robot shared environments using probabilistic decision-making methods", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:261340

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