Although multi-robot systems have received substantial re-search attention in recent years,
multi-robot coordination still remains a difficult task. Especially, when dealing with spatially …

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

Distributed motion planning of multiple agents raises fundamental and novel problems in
control theory and robotics. In particular, in applications such as coverage by mobile sensor …

In this paper, the multi-robot motion coordination planning problem is addressed. Although a
centralized prioritized planning strategy can be used to solve the problem, we rather …

This paper presents a novel approach to address the challenge of planning paths for multi-
agent systems subject to complex constraints. The technique, called the Decentralized Multi …

This work formulates the multi-vehicle lane change motion planning task as a centralized
optimal control problem, which is beneficial in being generic and complete. However, 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 …

We consider the multi-agent collision avoidance problem for a team of wheeled mobile
robots. Recently, a local solution to this problem, based on a game-theoretic formulation …

In this work, we consider the labeled multi-robot planning problem. In this paradigm, a team
of robots at fixed start positions must navigate to pre-specified and noninterchangable goal …

In this letter, we present a novel approach to efficiently generate collision-free optimal
trajectories for multiple non-holonomic mobile robots in obstacle-rich environments. Our …