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Swarms@UNM

Swarm Robotics Research Group. Biologically-inspired robot swarms at the University of New Mexico. Our robots were recently featured in a TED talk. Footer links or notices, if any.

http://iant.cs.unm.edu/

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Swarms@UNM | iant.cs.unm.edu Reviews

https://iant.cs.unm.edu

Swarm Robotics Research Group. Biologically-inspired robot swarms at the University of New Mexico. Our robots were recently featured in a TED talk. Footer links or notices, if any.

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iant.cs.unm.edu iant.cs.unm.edu
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Swarms@UNM

http://iant.cs.unm.edu/index.html

Swarm Robotics Research Group. Biologically-inspired robot swarms at the University of New Mexico. We are collaborating with NASA to create the Swarmathon. The first ever national swarm robotics competition! 2015 The University of New Mexico.

2

Swarms@UNM

http://iant.cs.unm.edu/people.html

Dr Melanie E. Moses. Our lab takes a highly interdisciplinary approach to understanding complexity: we develop computational and mathematical models of biological systems and we apply what we learn in biologically inspired computation. We are particularly interested in understanding how efficient, robust and scalable collective search strategies emerge in ant colonies and immune systems, and how emergent search strategies can be engineered into swarm robotics. And Open House events, and the RoboRAVE.

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Swarms@UNM

http://iant.cs.unm.edu/publications.html

Exploiting clusters for complete resource collection in biologically-inspired robot swarms. Joshua P. Hecker, Justin Craig Carmichael and Melanie E. Moses. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2015. Volatility and spatial distribution of resources determine ant foraging strategies. Drew Levin, Joshua P. Hecker, Melanie E. Moses, and Stephanie Forrest. European Conference on Artificial Life (ECAL), July 2015. Joshua P. Hecker and Melanie E. Moses. An evolut...

4

Swarms@UNM

http://iant.cs.unm.edu/about.html

The origin of the iAnt project began with field studies of harvester ants and an an early genetic algorithm that was able to evolve behavior matching the noted ant behaviors. The next step was to modify the GA and build the iAnt robot platform. The iAnts are then programmed with parameters evolved by the GA. Errors in the robot platform were evaluated and incorporated into the GA. See the Assembly Instructions. And the Owner's Manual. The iAnts communicate wirelessly with the server, providing the locati...

5

Swarms@UNM

http://iant.cs.unm.edu/videos.html

Official video from the University of New Mexico ( UNM Press Release. Demonstration of the iAnt platform. Demonstration of the iAnt gripper extension. Heterogenous cooperation between iAnt swarm and AR.Drone quadricopter. Gazebo simulation demos for the NASA Swarmathon robotics competition. 2015 The University of New Mexico.

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