Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Primitives for the manipulation of general subdivisions and the computation of Voronoi
ACM Transactions on Graphics (TOG)
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Distributed, Physics-Based Control of Swarms of Vehicles
Autonomous Robots
A Fluid Dynamics Approach to Multi-Robot Chemical Plume Tracing
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A generalized graph-based method for engineering swarm solutions to multiagent problems
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
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Swarm systems for multiagent control rely on natural models of behavior. Such models both predict simulated natural behavior and provide control instructions to the underlying agents. These two roles can differ when, for example, controlling nonholonomic robots incapable of executing some control suggestions from the system. We consider a simple physicomimetics system and examine the effects of actuation constraint on that system in terms of its ability to stabilize in regular formations, as well as the impact of such constraints on learning control parameters. We find that in the cases we considered, Physicomimetics is surprisingly robust to certain types of actuation constraint.