Eldridge, Bryce D., authorMaciejewski, Anthony A., authorIEEE, publisher2015-07-282015-07-282005Eldridge, Bryce D. and Anthony A. Maciejewski, Using Genetic Algorithms to Optimize Social Robot Behavior for Improved Pedestrian Flow, Proceedings: the International Conference on Systems, Man and Cybernetics, Waikoloa, Hawaii, October 10-12, 2005: 524-529.http://hdl.handle.net/10217/1294This paper expands on previous research on the effect of introducing social robots into crowded situations in order to improve pedestrian flow. In this case, a genetic algorithm is applied to find the optimal parameters for the interaction model between the robots and the people. Preliminary results indicate that adding social robots to a crowded situation can result in significant improvement in pedestrian flow. Using the optimized values of the model parameters as a guide, these robots can be designed to be more effective at improving the pedestrian flow. While this work only applies to one situation, the technique presented can be applied to a wide variety of scenarios.born digitalproceedings (reports)eng©2005 IEEE.Copyright 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.crowd dynamicsgenetic algorithmssocial robotsText