Machine Learning Helps Robot Swarms Coordinate
At a Glance Leadership President Provost Board of Trustees Legacy History & Milestones Historic Awards & Honors Caltech Archives Interactive History Map News Publications This is Caltech Caltech Magazine Periodic Table of Caltech Innovation and Impact Exploration and Achievement Directions Campus Maps Parking Tours Administrative Offices & Departments Academic Divisions Biology and Biological Engineering Chemistry and Chemical Engineering Engineering & Applied Science Geological & Planetary Sciences Humanities and Social Sciences Physics, Mathematics and Astronomy Jet Propulsion Laboratory Student Research Centers & Institutes Technology Transfer & Corporate Partnerships Sponsored Research Research Facilities Faculty Listing Undergraduate Studies Graduate Studies Online Education Executive Education Teaching, Learning, & Outreach Resources Registrar Catalog Academic Calendar Library International Offices Career Development Calendar Caltech Today Athletics & Recreation Public Programming / CaltechLive! Performing & Visual Arts Housing Dining Caltech Y Wellness Services Diversity Center Security Emergency Information Engineers at Caltech have designed a new data-driven method to control the movement of multiple robots through cluttered, unmapped spaces, so they do not run into one another. Multi-robot motion coordination is a fundamental robotics problem with wide-ranging applications that range from urban search and rescue to the control of fleets of self-driving cars to formation-flying in cluttered environments.
