  Self-assembly plays an essential role in many natural processes, involving
the formation and evolution of living or non-living structures, and shows
potential applications in many emerging domains. In existing research and
practice, there still lacks an ideal self-assembly mechanism that manifests
efficiency, scalability, and stability at the same time. Inspired by phototaxis
observed in nature, we propose a computational approach for massive
self-assembly of connected shapes in grid environments. The key component of
this approach is an artificial light field superimposed on a grid environment,
which is determined by the positions of all agents and at the same time drives
all agents to change their positions, forming a dynamic mutual feedback
process. This work advances the understanding and potential applications of
self-assembly.
