Adaptive Human aware Navigation based on Motion Pattern Analysis

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Abstrakt

Respecting people’s social spaces is an important
prerequisite for acceptable and natural robot navigation in
human environments. In this paper, we describe an adaptive
system for mobile robot navigation based on estimates of
whether a person seeks to interact with the robot or not.
The estimates are based on run-time motion pattern analysis
compared to stored experience in a database. Using a potential
field centered around the person, the robot positions itself at the
most appropriate place relative to the person and the interaction
status. The system is validated through qualitative tests in a real
world setting. The results demonstrate that the system is able
to learn to navigate based on past interaction experiences, and
to adapt to different behaviors over time.
OriginalsprogEngelsk
TitelThe 18th IEEE International Symposium on Robot and Human Interactive Communication, 2009. RO-MAN 2009
Antal sider6
ForlagIEEE
Publikationsdato2009
Sider927-932
ISBN (Trykt)978-1-4244-5081-7
DOI
StatusUdgivet - 2009
BegivenhedRobot and Human interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on - Toyama, Japan
Varighed: 27 sep. 20092 okt. 2009

Konference

KonferenceRobot and Human interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on
LandJapan
ByToyama
Periode27/09/200902/10/2009
NavnIEEE International Symposium on Robot and Human Interactive Communication
ISSN1944-9445

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  • Citationsformater

    Hansen, S. T., Svenstrup, M., Andersen, H. J., & Bak, T. (2009). Adaptive Human aware Navigation based on Motion Pattern Analysis. I The 18th IEEE International Symposium on Robot and Human Interactive Communication, 2009. RO-MAN 2009 (s. 927-932). IEEE. IEEE International Symposium on Robot and Human Interactive Communication https://doi.org/10.1109/ROMAN.2009.5326212