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      Satellite Capture and Servicing Using Networks of Tethered Robots Supported by Ground Surveillance

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          Abstract

          There is ever growing demand for satellite constellations that perform global positioning, remote sensing, earth-imaging and relay communication. In these highly prized orbits, there are many obsolete and abandoned satellites and components strewn posing ever-growing logistical challenges. This increased demand for satellite constellations pose challenges for space traffic management, where there is growing need to identify the risks probabilities and if possible mitigate them. These abandoned satellites and space debris maybe economically valuable orbital real-estate and resources that can be reused, repaired or upgraded for future use. On-orbit capture and servicing of a satellite requires satellite rendezvous, docking and repair, removal and replacement of components. Launching a big spacecraft that perform satellites servicing is one credible approach for servicing and maintaining next-generation constellations. By accessing abandoned satellites and space debris, there is an inherent heightened risk of damage to a servicing spacecraft. Under these scenarios, sending multiple, small-robots with each robot specialized in a specific task is a credible alternative, as the system is simple and cost-effective and where loss of one or more of robot does not end the mission. Eliminating the need for a large spacecraft or positioning the large spacecraft at safe distance to provide position, navigation and tracking support simplifies the system and enable the approach to be extensible with the latest ground-based sensing technology. In this work, we analyze the feasibility of sending multiple, decentralized robots that can work cooperatively to perform capture of the target satellite as first steps to on-orbit satellite servicing.

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          Most cited references6

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          Collision frequency of artificial satellites: The creation of a debris belt

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            A review of space tether research

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              Tackling Learning Intractability Through Topological Organization and Regulation of Cortical Networks

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                Author and article information

                Journal
                06 September 2018
                Article
                1809.02028
                d5e8c996-b154-4b87-8c3a-5f0b9f2af4ac

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                7 pages, 5 figures, Appearing at Advanced Maui Optical and Space Surveillance Technologies Conference 2018
                cs.RO

                Robotics
                Robotics

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