This work presents a novel distributed model predictive control (DMPC) strategy for
controlling multi-vehicle systems moving in formation. The vehicles' motion trajectories are …

This paper presents a Distributed Predictive Control (DPC) approach for the solution of a
number of motion and coordination problems for autonomous robots. The proposed scheme …

This work presents an online distributed motion planning strategy for cooperating vehicles.
The motion planning is formulated as an optimization problem that returns smooth …

This work presents a method for multi-robot coordination based on a novel distributed
nonlinear model predictive control (NMPC) formulation for trajectory optimization and its …

In this article, a novel distributed model predictive control architecture is proposed for the
coordination and control of multivehicle formations moving within uncertain environments …

This paper presents a model predictive control (MPC) approach for multivehicle formation
taking into account collision avoidance and velocity limitation with reduced computational …

This work presents a distributed model predictive control strategy for generating collision-
free point-to-point motions for a formation of multiple vehicles. It extends a synchronous …

This paper proposes a hierarchical MPC strategy for autonomous navigation of a formation
of unmanned aerial vehicles (UAVs) of quadcopter type under obstacle and collision …

Multirobot motion planning and control has been investigated for decades and is still an
active research area due to the growing demand for both performance optimality and safety …

This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …