The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …

Quadrotors have been utilized in a variety of applications where the payload needs to be
transferred from one location to another, such as in mine detection, load delivery through …

Many problems in robotics involve multiple decision making agents. To operate efficiently in
such settings, a robot must reason about the impact of its decisions on the behavior of other …

One of the most difficult challenges in robot motion planning is to account for the behavior of
other moving agents, such as humans. Commonly, practitioners employ predictive models to …

In this article, we propose a nonlinear receding horizon game-theoretic planner for
autonomous cars in competitive scenarios with other cars. The online planner is specifically …

Most approaches to multi-robot control either rely on local decentralized control policies that
scale well in the number of agents, or on centralized methods that can handle constraints …

We present the concept of a generalized feedback Nash equilibrium (GFNE) in dynamic
games, extending the feedback Nash equilibrium concept to games in which players are …

Information gathering while interacting with other agents under sensing and motion
uncertainty is critical in domains such as driving, service robots, racing, or surveillance. The …

In this work, we develop a scalable, local tra-jectory optimization algorithm that enables
robots to interact with other robots. It has been shown that agents' interactions can be …

We propose a nonlinear receding horizon gametheoretic planner for autonomous cars in
competitive scenarios with other cars. The online planner is specifically formulated for a two …