My vision is to design and build robot swarms at microscopic and macroscopic length scales that exploit oscillatory phenomena to enable diverse functions. I envision robot swarms becoming such an integral part of our daily lives that we fail to distinguish between inanimate objects and robot swarms, between medicine and robot swarms, between materials and robot swarms. To create this future, we must invent robot swarms that can reconfigure, move together, and manipulate their surroundings. There is a universal phenomenon that can be exploited in all systems at all length scales: oscillations. My work studies, enables, and uses oscillations to create desired collective behaviors in micro- and macro-scale robot swarms by coupling agents to each other through pairwise physical, environmentally mediated, or wireless oscillatory interactions (i.e., the most sensible interaction for each system). To achieve swarm reconfiguration, motion, and manipulation in dynamic environments, we must understand the foundations of oscillator swarms that move and affect their relative coupling as a function of their motion, we must explore what interactions are possible given agents’ bodies, and we must realize diverse collective behaviors on physical robot swarms. I plan to tackle these challenges by developing and studying (1) swarmalators models, (relaxation of idealizations to understand natural oscillatory phenomena and enabling desired collective behaviors), (2) heterogeneous microrobot swarms (development of microrobot swarms that exploit oscillatory physical and environmentally mediated interactions), (3) macro-scale robot swarms (creation of self-reconfigurable modular robot swarms and commercial robot platforms that exploit oscillatory physical interactions and eventually scale down to the micro-scale). I completed my Mechanical Engineering Ph.D. in Professor Kirstin Petersen's Collective Embodied Intelligence lab at Cornell University and am now a postdoctoral fellow at MIT working with Professors Daniela Rus and YuFeng Chen.