Research output per year
Research output per year
Avgi Kollakidou*, Lakshadeep Naik, Oskar Palinko, Leon Bodenhagen
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Robot navigation in environments shared with humans should take into account social structures and interactions. The identification of social groups has been a challenge for robotics as it encompasses a number of disciplines. We propose a hierarchical clustering method for grouping individuals into free standing conversational groups (FSCS), utilising their position and orientation. The proposed method is evaluated on the SALSA dataset with achieved F1 score of 0.94. The algorithm is also evaluated for scalability and implemented on a mobile robot attempting to detect social groups and engage in interaction.
Original language | English |
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Title of host publication | 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 |
Publisher | IEEE |
Publication date | 8. Aug 2021 |
Pages | 110-116 |
ISBN (Electronic) | 9781665404921 |
DOIs | |
Publication status | Published - 8. Aug 2021 |
Event | 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 - Virtual, Vancouver, Canada Duration: 8. Aug 2021 → 12. Aug 2021 |
Conference | 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 |
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Country/Territory | Canada |
City | Virtual, Vancouver |
Period | 08/08/2021 → 12/08/2021 |
Series | Proceedings - IEEE International Workshop on Robot and Human Communication (ROMAN) |
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ISSN | 1944-9445 |
Research output: Thesis › Ph.D. thesis