Hiroshi Hirai's research while affiliated with Kyushu University and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (3)
We show that an MDL-based graph clustering method may be used for discovering generalized clusters from a graph and then extend it so that the input is a network. We define intuitively that generalized clusters contain at least a cluster in which nodes are connected sparsely and the cluster is connected either densely to another cluster or sparsely...
This paper presents a simulator for the behaviors of swarm robots based on a Dynamic Bayesian Network (DBN). Our task is to
design each robot’s controller which enables the robot to patrol as many regions as possible without collisions. As the first
step, we use two swarm robots, each of which has two motors each of which is connected to a wheel an...
In this chapter, we describe a novel design method of swarm robots based on the dynamic Bayesian network. Recently, an increasing
attention has been paid to swarm robots due to their scalability, flexibility, cost-performance, and robustness. Designing
swarm robots so that they exhibit intended collective behaviors is considered as the most challen...