Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

Multi-robot systems gain considerable attention due to lower cost, better robustness, and
higher scalability as compared with single-robot systems. Cooperative object transport, as a …

This paper proposes a noble multi-robot path planning algorithm using Deep q learning
combined with CNN (Convolution Neural Network) algorithm. In conventional path planning …

Cooperative control of multirobot systems (MRSs) has earned significant research interest
over the past two decades due to its potential applications in multidisciplinary engineering …

Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

In this article, we consider the distributed formation navigation problem of second-order
multiagent systems subject to both velocity and input constraints. Both collision avoidance …

In this work, a distributed model predictive control (MPC) scheme based on consensus
theory is proposed for the formation control of a group of quadcopters. The MPC scheme …

Compared with a single robot, Multi-robot Systems (MRSs) can undertake more challenging
tasks in complex scenarios benefiting from the increased transportation capacity and fault …

We consider a Random Access network with a number of nodes transmitting time-sensitive
information to a wireless base station. Packets are generated according to a stochastic …

Object transportation could be a challenging problem for a single robot due to the oversize
and/or overweight issues. A multi-robot system can take the advantage of increased driving …