Self-Organization for Multi-Agent Groups |
Kim, Dong-Hun (School of Information Science and Technology, the University of Tokyo) |
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Behavior-based formation control for multi-robot teams
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Spatial self-organization in large populations of mobile robots
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An evolved vision-based behavioral model of coordinated group motion
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Exact robot navigation using artificial potential functions
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DOI ScienceOn |
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Spatioangular order in population of self-aligning objects: Formation of oriented patches
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DOI ScienceOn |
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Decentralized control of autonomous vehicles
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The concept of cellular robotic system
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Robotic morphogenesis
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Self-organized in systems of self-propelled particles
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Stability of synchronized distributed control of discrete swarm structures
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Designing emergent behaviors: from local interactiona to collective intelligence
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Minimizing complexity in controlling a mobile robot population
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Cooperative robotics for multitarget observation
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14 |
Autonomous formation flight
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DOI |
15 |
Platoons of underwater vehicles
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DOI |
16 |
Navigation of autonomous robots with an intelligent Oscillator Controller
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Broadcast of local eligibility for multi-target observation
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18 |
Distributed cooperative control of multiple vehicle formations using structural potential functions
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19 |
Adaptive control with impedance of cooperative multi-robot system
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20 |
Coupled Oscillator control of autonomous mobile robots
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22 |
Designing control laws for cooperative agent teams
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23 |
Self-organized flocking with agent failure: off-line optimization and demonstration with real robots
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24 |
Robot control of animal flocks
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25 |
An implementation of evolutionary computation for path planning of cooperative mobile robots
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26 |
A reinforcement learning approach to obstacle avoidance of mobile robots
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27 |
Evolutionary artificial potential fields and their application in real time robot path planning
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28 |
Flocks, herds and schools: a distributed behavioral model
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DOI |
29 |
Behavior-based coordination of large-scale robot formations
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30 |
New potential functions for mobile robot path planning
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DOI ScienceOn |