We present a multi-agent decision-making framework for the emergent coordination of
autonomous agents whose intents are initially undecided. Dynamic non-cooperative games …

Planning an interactive and cooperative behavior in the vicinity of multiple decision-makers
is a challenging task. The game-theoretic perspective provides a suitable framework to …

We present SocialGym 2, a multi-agent navigation simulator for social robot research. Our
simulator models multiple autonomous agents, replicating real-world dynamics in complex …

In this paper, we propose a game-based coupling controller to solve the problem of
autonomous vehicles in the trajectory tracking process. The controller ensures path tracking …

Cooperatively avoiding collision is a critical functionality for robots navigating in dense
human crowds, failure of which could lead to either overaggressive or overcautious …

Modeling the stochastic behavior of interacting agents is key for safe motion planning. In this
paper, we study the interaction of risk-aware agents in a game-theoretical framework. Under …

In this work, we consider the problem of autonomous racing with multiple agents where
agents must interact closely and influence each other to compete. We model interactions …

Iterative linear-quadratic (ILQ) methods are widely used in the nonlinear optimal control
community. Recent work has applied similar methodology in the setting of multi-player …

Predictive models are effective in reasoning about human motion, a crucial part that affects
safety and efficiency in human-robot interaction. However, robots often lack access to certain …

Although dynamic games provide a rich paradigm for modeling agents' interactions, solving
these games for real-world applications is often challenging. Many real-wold interactive …