Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

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 …

Dynamic games are an effective paradigm for dealing with the control of multiple interacting
actors. This paper introduces augmented Lagrangian GAME-theoretic solver (ALGAMES), a …

In this article, we study the problem of multiple stochastic agents interacting in a dynamic
game scenario with continuous state and action spaces. We define a new notion of …

Existing game-theoretic planning methods assume that the robot knows the objective
functions of the other agents a priori while, in practical scenarios, this is rarely the case. This …

Considering personalized driving preferences, a new decision-making framework is
developed using a differential game approach to resolve the driving conflicts of autonomous …

To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

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 …

Dynamic games are an effective paradigm for dealing with the control of multiple interacting
actors. This paper introduces ALGAMES (Augmented Lagrangian GAME-theoretic Solver), a …

Contingency planning, wherein an agent generates a set of possible plans conditioned on
the outcome of an uncertain event, is an increasingly popular way for robots to act under …