Self-organization in robot swarms and beyond
ORAL
Abstract
Swarms of interacting simple robots are interesting because of their potential for adapting rapidly to the demands of different group tasks. They also provide a playground for studying the physics of emergent self-organization. We studied a closely packed ensemble of periodically deforming simple robots, and observed the group to spontaneously organize into orderly patterns of collective motion. Viewing the collective as an emergent whole, we characterized its dynamics using an analysis originally developed for understanding fruit-fly behaviors. Our findings point to design principles for the controlled stabilization of ordered behaviors in interacting systems.
–
Presenters
-
Pavel Chvykov
Massachusetts Institute of Technology
Authors
-
Pavel Chvykov
Massachusetts Institute of Technology
-
William C Savoie
Georgia Institute of Technology, Physics, Georgia Tech
-
Zachary Jackson
Georgia Institute of Technology, Physics, Georgia Tech
-
Akash Vardhan
Physics, Georgia Tech, Georgia Institute of Technology
-
Kurt A Wiesenfeld
Georgia Institute of Technology, Physics, Georgia Tech
-
Jeremy L England
Massachusetts Institute of Technology, Physics, Massachusetts Institute of Technology
-
Daniel Goldman
Georgia Institute of Technology, School of physics, Georgia Tech, Physics, Georgia Institute of Technology, Physics, Georgia Tech, Georgia Institute of Technology, Atlanta, School of Physics, Georgia Tech