Wicaksono, Handy and Anam, Khairul and Prihastono and Sulistijono, Indra Adjie and Kuswadi, Son (2010) COMPACT FUZZY Q LEARNING FOR AUTONOMOUS MOBILE ROBOT NAVIGATION. In: IASTED International Conference Robotics (IASTED - Roby, 26-11-2010 - 26-11-2010, Bangkok - Thailand.
![[thumbnail of Publikasi1_04004_10952.pdf]](https://repository.petra.ac.id/style/images/fileicons/application_pdf.png "Publikasi1_04004_10952.pdf")
PDF
Publikasi1_04004_10952.pdf
Download (3MB)
PDF
Publikasi4_04004_10952.pdf
Download (3MB)
Abstract
Robot which does complex task needs learning capability. Q learning is popular reinforcement learning method because it has off-line policy characteristic and simple algorithm. But it only suitable in discrete state and action. By using Fuzzy Q Learning (FQL), continuous state and action can be handled too. Unfortunately, it�s not easy to implement FQL algorithm to real robot because its complexity and robot�s limited memory capacity. In this research, Compact FQL (CFQL) algorithm is proposed to solve those weaknesses. By using CFQL, robot still can accomplish its task in autonomous navigation although
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Autonomous robot, fuzzy Q learning, navigation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering Department |
| Depositing User: | Admin |
| Date Deposited: | 05 Sep 2024 01:17 |
| Last Modified: | 10 Sep 2024 11:51 |
| URI: | https://repository.petra.ac.id/id/eprint/21304 |
Actions (login required)
- View Item