Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Yoshiaki Hasebe

dblp:70/507 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Multi-agent systems · 67% Reinforcement learning · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
distributed control
0.011999
Distributed Control of Flexible Transfer System (FTS) Using Learning Automata · ICRA 1999
Machine learning › Reinforcement learning
learning automata
0.011999
Distributed Control of Flexible Transfer System (FTS) Using Learning Automata · ICRA 1999

Methods — techniques the papers use, named apart from their topics

simulation · 0.0learning automata · 0.0
YearPublicationVenuePosition
1999 Distributed Control of Flexible Transfer System (FTS) Using Learning Automata
abstract
This paper proposes a flexible transfer system (FTS) as one of the self-organizing manufacturing systems. The FTS is composed of autonomous robotic modules, which transfer a palette carrying an object. Through the self-organization of a multilayer strategic vector field corresponding to a task, the FTS can generate quasi-optimal transfer path in fully distributed way. We apply the learning automata for path generation algorithm. Simulation is conducted to evaluate the basic performance of the system and the results show the feasibility of application. Also, the developed hardware is explained.
Toshio Fukuda, Kousuke Sekiyama, Yoshiaki Hasebe, Yasuhisa Hasegawa, Susumu Shibata, Hironobu Yamamoto, Yuji Inada
ICRA3