In this paper, we treat a multi-robot formation problem. In this problem, multiple robots move
from their respective initial positions, and they achieve to make a given target formation by …

In this paper, we treat a multi-robot formation problem in which each of multiple robots
selects one of goal positions adequately and finds the optimal route to the goal position, and …

Formation is a good example of the research for multi-robot cooperation. Many different
ways can be used to accomplish this task, but the main drawbacks of most of these methods …

Multi-agent reinforcement learning for multi-robot systems is a challenging issue in both
robotics and artificial intelligence. With the ever increasing interests in theoretical …

Swarm robotics is a field in which multiple robots coordinate their collective behavior
autonomously to accomplish a given task without any form of centralized control. Training a …

Improving generalization ability in multi-robot formation can reduce repetitive training and
calculation. In this paper, we study the multi-robot formation problem with the ability to …

Multiagent reinforcement learning for multirobot systems is a challenging issue in both
robotics and artificial intelligence. With the ever increasing interests in theoretical research …

Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

The main focus of this paper is to study and develop an efficient learning policy to address
the exploration vs. exploitation dilemma in a multi-objective foraging task in swarm robotics …

This paper presents a novel approach to operate industrial robots as used for manufacturing
lines within a cooperative robot station. The proposed framework consists of the application …