Emmons, Megan, authorMaciejewski, Anthony A., authorChong, Edwin K. P., author2017-11-102017-11-102017https://hdl.handle.net/10217/184822Robotic swarms are comprised of simple, individual robots but can collectively accomplish complex tasks through frequent interactions with other robots and the environment. One pertinent objective for swarms is mapping unknown, potentially hazardous environments. We show that the collective or emergent behavior of a swarm observed at one area can be used to infer the presence of obstacles in an unknown environment even when the robots are unable to communicate and have limited sensing capabilities. In the process, we present a general methodology for mapping the discrete, individual robot behaviors to a continuous time model of the emergent behavior.born digitalStudent workspostersengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.roboticsrobotic swarmsmappingText