InFuse: a comprehensive framework for data fusion in space robotics

Shashank Govinderaj, Jeremi Gancet, Mark Post, Raul Dominguez, Fabrice Souvannavong, Simon Lacroix, Michal Smisek, Javier Hidalgo-Carrio, Bilal Wehbe, Alexander Fabisch, Andrea De Maio, Nassir Oumer, Vincent Bissonnette, Zoltan-Csaba Marton, Sandeep Kottath, Christian Nissler, Xiu Yan, Rudolph Triebel, Francesco Nuzzolo

Research output: Contribution to conferencePaper

Abstract

Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration, science and commercial purposes. This includes navigation for planetary and orbital robotics, scientific data gathering, and on-orbit spacecraft servicing applications. InFuse aims to develop a comprehensive open-source data fusion toolset to combine and interpret sensory data from multiple robotic sensors, referred as a Common Data Fusion Framework (CDFF).

Conference

Conference14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation
Abbreviated titleESA ASTRA 2017
CountryNetherlands
CityLeiden
Period20/06/1722/06/17

Fingerprint

Data fusion
Robotics
Spacecraft
Navigation
Orbits
Decision making
Robots
Sensors

Keywords

  • fused sensory data
  • space robotic technologies
  • common data fusion framework

Cite this

Govinderaj, S., Gancet, J., Post, M., Dominguez, R., Souvannavong, F., Lacroix, S., ... Nuzzolo, F. (2017). InFuse: a comprehensive framework for data fusion in space robotics. Paper presented at 14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, Leiden, Netherlands.
Govinderaj, Shashank ; Gancet, Jeremi ; Post, Mark ; Dominguez, Raul ; Souvannavong, Fabrice ; Lacroix, Simon ; Smisek, Michal ; Hidalgo-Carrio, Javier ; Wehbe, Bilal ; Fabisch, Alexander ; De Maio, Andrea ; Oumer, Nassir ; Bissonnette, Vincent ; Marton, Zoltan-Csaba ; Kottath, Sandeep ; Nissler, Christian ; Yan, Xiu ; Triebel, Rudolph ; Nuzzolo, Francesco. / InFuse : a comprehensive framework for data fusion in space robotics. Paper presented at 14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, Leiden, Netherlands.
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abstract = "Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration, science and commercial purposes. This includes navigation for planetary and orbital robotics, scientific data gathering, and on-orbit spacecraft servicing applications. InFuse aims to develop a comprehensive open-source data fusion toolset to combine and interpret sensory data from multiple robotic sensors, referred as a Common Data Fusion Framework (CDFF).",
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author = "Shashank Govinderaj and Jeremi Gancet and Mark Post and Raul Dominguez and Fabrice Souvannavong and Simon Lacroix and Michal Smisek and Javier Hidalgo-Carrio and Bilal Wehbe and Alexander Fabisch and {De Maio}, Andrea and Nassir Oumer and Vincent Bissonnette and Zoltan-Csaba Marton and Sandeep Kottath and Christian Nissler and Xiu Yan and Rudolph Triebel and Francesco Nuzzolo",
year = "2017",
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note = "14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, ESA ASTRA 2017 ; Conference date: 20-06-2017 Through 22-06-2017",

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Govinderaj, S, Gancet, J, Post, M, Dominguez, R, Souvannavong, F, Lacroix, S, Smisek, M, Hidalgo-Carrio, J, Wehbe, B, Fabisch, A, De Maio, A, Oumer, N, Bissonnette, V, Marton, Z-C, Kottath, S, Nissler, C, Yan, X, Triebel, R & Nuzzolo, F 2017, 'InFuse: a comprehensive framework for data fusion in space robotics' Paper presented at 14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, Leiden, Netherlands, 20/06/17 - 22/06/17, .

InFuse : a comprehensive framework for data fusion in space robotics. / Govinderaj, Shashank; Gancet, Jeremi; Post, Mark; Dominguez, Raul; Souvannavong, Fabrice; Lacroix, Simon; Smisek, Michal; Hidalgo-Carrio, Javier; Wehbe, Bilal; Fabisch, Alexander; De Maio, Andrea; Oumer, Nassir; Bissonnette, Vincent; Marton, Zoltan-Csaba; Kottath, Sandeep; Nissler, Christian; Yan, Xiu; Triebel, Rudolph; Nuzzolo, Francesco.

2017. Paper presented at 14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, Leiden, Netherlands.

Research output: Contribution to conferencePaper

TY - CONF

T1 - InFuse

T2 - a comprehensive framework for data fusion in space robotics

AU - Govinderaj, Shashank

AU - Gancet, Jeremi

AU - Post, Mark

AU - Dominguez, Raul

AU - Souvannavong, Fabrice

AU - Lacroix, Simon

AU - Smisek, Michal

AU - Hidalgo-Carrio, Javier

AU - Wehbe, Bilal

AU - Fabisch, Alexander

AU - De Maio, Andrea

AU - Oumer, Nassir

AU - Bissonnette, Vincent

AU - Marton, Zoltan-Csaba

AU - Kottath, Sandeep

AU - Nissler, Christian

AU - Yan, Xiu

AU - Triebel, Rudolph

AU - Nuzzolo, Francesco

PY - 2017/6/20

Y1 - 2017/6/20

N2 - Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration, science and commercial purposes. This includes navigation for planetary and orbital robotics, scientific data gathering, and on-orbit spacecraft servicing applications. InFuse aims to develop a comprehensive open-source data fusion toolset to combine and interpret sensory data from multiple robotic sensors, referred as a Common Data Fusion Framework (CDFF).

AB - Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration, science and commercial purposes. This includes navigation for planetary and orbital robotics, scientific data gathering, and on-orbit spacecraft servicing applications. InFuse aims to develop a comprehensive open-source data fusion toolset to combine and interpret sensory data from multiple robotic sensors, referred as a Common Data Fusion Framework (CDFF).

KW - fused sensory data

KW - space robotic technologies

KW - common data fusion framework

UR - http://www.esa.int/Our_Activities/Space_Engineering_Technology/Automation_and_Robotics/Proceedings_of_ASTRA

M3 - Paper

ER -

Govinderaj S, Gancet J, Post M, Dominguez R, Souvannavong F, Lacroix S et al. InFuse: a comprehensive framework for data fusion in space robotics. 2017. Paper presented at 14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, Leiden, Netherlands.