Karya
Judul/Title Deep Q-Network Configuration and Performance for a Power Line Inspection Autonomous Quadrotor in a Simulated World
Penulis/Author Muhammad Idham Ananta Timur, M.Kom. (1) ; Prof. Dr. Ir. Jazi Eko Istiyanto, M.Sc. (2); Dr. Andi Dharmawan, S.Si., M.Cs. (3); ROIS NUR HAKIM (4); AHMAD SHIDDIQ N (5)
Tanggal/Date 2022
Kata Kunci/Keyword
Abstrak/Abstract Monitoring power line across mountainous landscape is always a daunting task. Usually, pilot-driven Unmanned Aerial Vehicle (UAV) such as quadrotor is one of the most viable option to do so. However, this scenario put a high demand on the pilot both in availability and costs. Therefore, this study attempts to adopt autonomous approach using Deep Q-Network algorithms to maintain UAV position against the power line. Sum of rewards per episodes and loss function analysis are used for the evaluation. The result shows that adjusting number of action and kernel size could significantly accelerate learning process while maintaining an acceptable sum of reward. On the other side, bigger kernel size and more actions will slow the learning process down but gaining even better sum of rewards.
Rumpun Ilmu Sistem Informasi Geografi (SIG)
Bahasa Asli/Original Language English
Level Internasional
Status
Dokumen Karya
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1Cek Similarity.pdf[PAK] Cek Similarity
2Full Dokumen.pdf[PAK] Full Dokumen
3Bukti Korespondensi QuadRotor.pdf[PAK] Bukti Korespondensi Penulis
4DEEP Q-NETWORK CONFIGURATION AND PERFORMANCE FOR A POWER LINE INSPECTION AUTONOMOUS QUADROTOR IN A SIMULATED WORLD.pdf[PAK] Cek Similarity
5full-dokumenpdf.pdf[PAK] Full Dokumen