Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach

Rainer Palm; Achim Lilienthal

doi:10.1109/FUZZ-IEEE.2019.8858796

Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach

Rainer Palm, Achim Lilienthal

Örebro University

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

2 Scopus citations

Abstract

In this paper the intersection problem in human-robot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.

Original language	English
Title of host publication	2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538617281
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2019.8858796
State	Published - Jun 2019
Externally published	Yes
Event	2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 - New Orleans, United States Duration: 23 Jun 2019 → 26 Jun 2019

Publication series

Name	IEEE International Conference on Fuzzy Systems
Volume	2019-June
ISSN (Print)	1098-7584

Conference

Conference	2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
Country/Territory	United States
City	New Orleans
Period	23/06/19 → 26/06/19

Access to Document

10.1109/FUZZ-IEEE.2019.8858796

Cite this

Palm, R., & Lilienthal, A. (2019). Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach. In 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 Article 8858796 (IEEE International Conference on Fuzzy Systems; Vol. 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2019.8858796

@inproceedings{3dc30c0a53b24d2c981c0701ae44ef0c,

title = "Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach",

abstract = "In this paper the intersection problem in human-robot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.",

author = "Rainer Palm and Achim Lilienthal",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 ; Conference date: 23-06-2019 Through 26-06-2019",

year = "2019",

month = jun,

doi = "10.1109/FUZZ-IEEE.2019.8858796",

language = "English",

series = "IEEE International Conference on Fuzzy Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Palm, R & Lilienthal, A 2019, Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach. in 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019., 8858796, IEEE International Conference on Fuzzy Systems, vol. 2019-June, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019, New Orleans, United States, 23/06/19. https://doi.org/10.1109/FUZZ-IEEE.2019.8858796

Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach. / Palm, Rainer; Lilienthal, Achim.
2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8858796 (IEEE International Conference on Fuzzy Systems; Vol. 2019-June).

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

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N2 - In this paper the intersection problem in human-robot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.

AB - In this paper the intersection problem in human-robot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.

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M3 - Conference contribution

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BT - 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019

Y2 - 23 June 2019 through 26 June 2019

ER -

Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach

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