Sistem Penentu Gerakan Mobile Robot yang Belajar Sendiri Cara untuk Bergerak Maju dan Menghindari Tabrakan Menggunakan Neural Network (NN)  

Oleh:

Puspita, Eru

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Matematika, Sains, dan Teknologi vol. 12 no. 2 (Sep. 2011), page 68-79.
Topik: kendali gerakan; mobile robot; NN; on-line
Fulltext: SISTEM PENENTU GERAKAN MOBILE ROBOT YANG BELAJAR SENDIRI CARA.pdf (165.68KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ138.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Commonly used for driving mobile robot is by using certain pre defined algorithm. This research will try to develop driving technique using continuous self learning NN while mobile robot on go. This research only observe about how mobile robot by it self can move forward an how to avoid a collision. Program NN will try to learn how to move forward, backward, turn left, turn right or other possibility depend on or by using collision experience. The test results obtained 82% successful runs forward and approximately 90% managed to avoid a collision.

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