Adaptive communication in multi-robot systems using directionality of signal strength

We consider the problem of satisfying communication demands in a multi-agent system where several robots cooperate on a task and a fixed subset of the agents act as mobile routers. Our goal is to position the team of robotic routers to provide communication coverage to the remaining client robots. W...

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Bibliographic Details
Main Authors: Gil, Stephanie (Contributor), Suresh Kumar, Swarun (Contributor), Katabi, Dina (Contributor), Rus, Daniela L. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Sage Publications, 2015-12-28T00:59:50Z.
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Online Access:Get fulltext
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100 1 0 |a Gil, Stephanie  |e author 
100 1 0 |a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Gil, Stephanie  |e contributor 
100 1 0 |a Suresh Kumar, Swarun  |e contributor 
100 1 0 |a Katabi, Dina  |e contributor 
100 1 0 |a Rus, Daniela L.  |e contributor 
700 1 0 |a Suresh Kumar, Swarun  |e author 
700 1 0 |a Katabi, Dina  |e author 
700 1 0 |a Rus, Daniela L.  |e author 
245 0 0 |a Adaptive communication in multi-robot systems using directionality of signal strength 
260 |b Sage Publications,   |c 2015-12-28T00:59:50Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/100520 
520 |a We consider the problem of satisfying communication demands in a multi-agent system where several robots cooperate on a task and a fixed subset of the agents act as mobile routers. Our goal is to position the team of robotic routers to provide communication coverage to the remaining client robots. We allow for dynamic environments and variable client demands, thus necessitating an adaptive solution. We present an innovative method that calculates a mapping between a robot's current position and the signal strength that it receives along each spatial direction, for its wireless links to every other robot. We show that this information can be used to design a simple positional controller that retains a quadratic structure, while adapting to wireless signals in real-world environments. Notably, our approach does not necessitate stochastic sampling along directions that are counter-productive to the overall coordination goal, nor does it require exact client positions, or a known map of the environment. 
520 |a Lincoln Laboratory 
520 |a Micro Autonomous Consortium Systems and Technology (ARL Grant W911NF-08-2-0004) 
546 |a en_US 
655 7 |a Article 
773 |t The International Journal of Robotics Research