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Game Theoretic Planning for Navigation in Crowded Areas
In this project, students will investigate how game theoretic methods can be used for planning in complex environments.
Keywords: Game Theory, Planning, Control, Machine Learning, Navigation in unstructured environments
Humans are astonishingly good at navigating in complex and crowded environments. In the train station, we manage to navigate with minimal collisions AND minimal explicit communication - but how do we do this so effectively?
This project will examine learning based game theoretic methods for navigating in complex environments across a multitude of dynamic systems including aerial vehicles (drones) and legged robots.
Humans are astonishingly good at navigating in complex and crowded environments. In the train station, we manage to navigate with minimal collisions AND minimal explicit communication - but how do we do this so effectively? This project will examine learning based game theoretic methods for navigating in complex environments across a multitude of dynamic systems including aerial vehicles (drones) and legged robots.
Investigate the potential of learning based game theoretic planners for dynamic robotic systems
Investigate the potential of learning based game theoretic planners for dynamic robotic systems