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JRM Most Downloaded Papers, Oct. 2018
| This month | Last month | Vol. No. | Title / Authors | Keywords |
|---|---|---|---|---|
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1 | Vol.29 No.4 (2017) |
Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments Hatem Darweesh, Eijiro Takeuchi, Kazuya Takeda, Yoshiki Ninomiya, Adi Sujiwo, Luis Yoichi Morales, Naoki Akai, Tetsuo Tomizawa, and Shinpei Kato |
autonomous driving, path planning, open source software |
 |
4 | Vol.30 No.1 (2018) |
Adaptive Path Planning for Cleaning Robots Considering Dust Distribution Takahiro Sasaki, Guillermo Enriquez, Takanobu Miwa, and Shuji Hashimoto |
cleaning robot, coverage path planning, region segmentation, genetic algorithm, dirt distribution |
 |
3 | Vol.29 No.1 (2017) |
Sound Source Localization Using Deep Learning Models Nelson Yalta, Kazuhiro Nakadai, and Tetsuya Ogata |
sound source localization, deep learning, deep residual networks |
 |
2 | Vol.28 No.5 (2016) |
Antisway Control for a Rotary Crane by Using Evolutionary Computation Akira Abe and Keisuke Okabe |
antisway control, trajectory generation, open-loop control, particle swarm optimization, rotary crane |
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10 | Vol.30 No.4 (2018) |
Mobile Robot Decision-Making Based on Offline Simulation for Navigation over Uneven Terrain Yuichi Kobayashi, Masato Kondo, Yuji Hiramatsu, Hokuto Fujii, and Tsuyoshi Kamiya |
UGV navigation, unknown environment, learning through offline simulation |
|
2 | Vol.30 No.4 (2018) |
End-to-End Autonomous Mobile Robot Navigation with Model-Based System Support Alexander Carballo, Shunya Seiya, Jacob Lambert, Hatem Darweesh, Patiphon Narksri, Luis Yoichi Morales, Naoki Akai, Eijiro Takeuchi, and Kazuya Takeda |
Tsukuba Challenge, end-to-end navigation, deep learning, path planning, obstacle avoidance |
Count period : October 1 - 31, 2018