Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers

Kyle Lockwood; Garrit Strenge; Yunus Bicer; Tales Imbiriba; Mariusz P. Furmanek; Taskin Padir; Deniz Erdogmus; Eugene Tunik; Mathew Yarossi

doi:10.1109/RO-MAN57019.2023.10309536

Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers

Kyle Lockwood
, Garrit Strenge
, Yunus Bicer
, Tales Imbiriba
, Mariusz P. Furmanek
, Taskin Padir
, Deniz Erdogmus
, Eugene Tunik
, Mathew Yarossi

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023
Publisher	IEEE Computer Society
Pages	2259-2266
Number of pages	8
ISBN (Electronic)	9798350336702
DOIs	https://doi.org/10.1109/RO-MAN57019.2023.10309536
State	Published - 2023
Event	32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023 - Busan, Korea, Republic of Duration: Aug 28 2023 → Aug 31 2023

Publication series

Name	IEEE International Workshop on Robot and Human Communication, RO-MAN
ISSN (Print)	1944-9445
ISSN (Electronic)	1944-9437

Conference

Conference	32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023
Country/Territory	Korea, Republic of
City	Busan
Period	8/28/23 → 8/31/23

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software

Access to Document

10.1109/RO-MAN57019.2023.10309536

Cite this

Lockwood, K., Strenge, G., Bicer, Y., Imbiriba, T., Furmanek, M. P., Padir, T., Erdogmus, D., Tunik, E., & Yarossi, M. (2023). Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023 (pp. 2259-2266). (IEEE International Workshop on Robot and Human Communication, RO-MAN). IEEE Computer Society. https://doi.org/10.1109/RO-MAN57019.2023.10309536

Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. / Lockwood, Kyle; Strenge, Garrit; Bicer, Yunus et al.
2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023. IEEE Computer Society, 2023. p. 2259-2266 (IEEE International Workshop on Robot and Human Communication, RO-MAN).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lockwood, K, Strenge, G, Bicer, Y, Imbiriba, T, Furmanek, MP, Padir, T, Erdogmus, D, Tunik, E & Yarossi, M 2023, Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. in 2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023. IEEE International Workshop on Robot and Human Communication, RO-MAN, IEEE Computer Society, pp. 2259-2266, 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023, Busan, Korea, Republic of, 8/28/23. https://doi.org/10.1109/RO-MAN57019.2023.10309536

Lockwood K, Strenge G, Bicer Y, Imbiriba T, Furmanek MP, Padir T et al. Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023. IEEE Computer Society. 2023. p. 2259-2266. (IEEE International Workshop on Robot and Human Communication, RO-MAN). doi: 10.1109/RO-MAN57019.2023.10309536

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title = "Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers",

author = "Kyle Lockwood and Garrit Strenge and Yunus Bicer and Tales Imbiriba and Furmanek, \{Mariusz P.\} and Taskin Padir and Deniz Erdogmus and Eugene Tunik and Mathew Yarossi",

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AU - Furmanek, Mariusz P.

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Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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