Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements

Charles Champagne Cossette, Mohammed Ayman Shalaby, David Saussié, Jérôme Le Ny and James Richard Forbes

Paper (2022)

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Department:	Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/52504/
Conference Title:	IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Conference Location:	Kyoto, Japan
Conference Date(s):	2022-10-23 - 2022-10-27
Publisher:	IEEE
DOI:	10.1109/iros47612.2022.9981301
Official URL:	https://doi.org/10.1109/iros47612.2022.9981301
Date Deposited:	18 Apr 2023 14:58
Last Modified:	05 Apr 2024 11:57

Cite in APA 7:	Cossette, C. C., Shalaby, M. A., Saussié, D., Le Ny, J., & Forbes, J. R. (2022, October). Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements [Paper]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan. https://doi.org/10.1109/iros47612.2022.9981301
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