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ROS用倉庫システムにおけるフォークリフトのモデリングと実装
Kuo-Yang Tu1, Che-Ping Hung2, Hong-Yu Lin2
1Department of Electrical Engineering, National Kaohsiung University of Science and Technology, No. 1, University Road, Yanchao District, Kaohsiung City 82445, Taiwan.
Sensors (Basel, Switzerland)
|August 28, 2025
まとめ
この研究は,自動化された倉庫操作を強化するために,ロボットオペレーティングシステム (ROS) のトリサイクルフォークリフトモデルを導入します. 開発されたROSシステムは,正確なナビゲーションと制御を可能にし,労働力不足に対処します.
科学分野:
- ロボットと自動化
- 倉庫の物流
- インテリジェントな輸送システム
背景:
- 増加する労働力不足は,倉庫でのより高いスループットを必要とします.
- 自動倉庫は人間の労働を減らすための 重要な研究分野です
- 三輪式フォークリフトは,自動倉庫での重荷輸送に不可欠です.
研究 の 目的:
- ロボットオペレーティングシステム (ROS) と互換性のあるトライサイクルフォークリフトモデルを開発する.
- 自動化された倉庫環境で3輪のフォークリフトの自律的なナビゲーションと制御を可能にする
- 倉庫での実用的なアプリケーションの 精度を検証するためです
主な方法:
- ROS統合のための三輪車フォークリフトモデルを構築しました.
- 無縫のフォークリフト制御のための既存のROSソフトウェアモジュールを改造しました.
- 同時ローカライゼーションとマッピング (SLAM) とナビゲーション制御の検証のためのガゼボシミュレーションを利用した.
- フォークリフトで実用的な実験を行いました
主要な成果:
- ROSにトライサイクルフォークリフトモデルを開発し,統合しました.
- シミュレーションと現実世界のテストを通じて正確な自己誘導ナビゲーションと制御を実証した.
- 高精度倉庫へのシステムの適性を確認しました.
結論:
- 開発されたROSベースの三輪フォークリフトシステムは,倉庫での自動化の必要性を効果的に解決します.
- このシステムは,倉庫の効率を向上させ,労働力不足を克服するための実行可能な解決策を提供します.
- 複雑な物流環境において,さらなる統合とテストにより,その能力を向上させることができます.
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