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Modular Mobile Docking Station Design

Authors: Casey Carlson; Andrew Drenner; Ian T. Burt; Nikolaos Papanikolopoulos;

Modular Mobile Docking Station Design

Abstract

Large scale robotic teams are capable of working independently or cooperatively to carry out a variety of missions. However, for large teams of robots to function for extended periods of time, the individual members of a team must be able to generate or find energy to re-supply themselves. One approach to providing power for a robotic team is to couple larger systems with significant energy reserves so that the smaller systems can be recharged directly from the larger. This paper presents an implementation of such an approach. Here, a modular docking station is given locomotion through the cooperation of two larger robots. The docking station is capable of transporting, deploying, retrieving, and recharging many smaller robots. The kinematic model which will govern the cooperation of the maneuvering robots and will be used to develop control is presented and discussed. The design of the individual bays of the docking station and how they facilitate the deployment, recovery, and recharge of the smaller robots is also presented. The development of this system makes possible a number of applications, including autonomous long-term environmental monitoring and reconnaissance in various locations.

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
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