Many structures built by social insects are the outcome of a process of sel
f-organization, in which the repeated actions of the insects interact over
time with the changing physical environment to produce a characteristic end
state. A major mediating factor is stigmergy, the elicitation of specific
environment-changing behaviors by the sensory effects of local environmenta
l changes produced by previous behavior. A typical task involving stigmergi
c self-organization is brood sorting: Many ant species sort their brood so
that items at similar stages of development are grouped together and separa
ted from items at different stages of development. This article examines th
e operation of stigmergy and self-organization in a homogeneous group of ph
ysical robots, in the context of the task of clustering and sorting Frisbee
s of two different types. Using a behavioral rule set simpler than any yet
proposed for ant sorting, and having no capacity for spatial orientation or
memory, the robots are able to achieve effective clustering and sorting sh
owing all the signs of self-organization. It is argued that the success of
this demonstration is crucially dependent on the exploitation of real-world
physics, and that the use of simulation alone to investigate stigmergy may
fail to reveal its power as an evolutionary option for collective life for
ms.