古き良き 工学 が ロボット 工学 の 10万 年 の "データ ギャップ" を 埋める
1Ken Goldberg is the president of the Robot Learning Foundation, Mill Valley, CA, USA; chair of the Berkeley AI Research (BAIR) Lab Steering Committee, Berkeley, CA, USA; a cofounder of Ambi Robotics, Berkeley, CA, USA and Jacobi Robotics, Emeryville, CA, USA; and the William S. Floyd distinguished chair of engineering at UC Berkeley, Berkeley, CA, USA.
Science robotics
|August 27, 2025
まとめ
伝統的なエンジニアリングとモデルベースの方法は 学習ベースのロボットシステムを効果的に開始できます このアプローチは,高度なロボット能力とアプリケーションを開発するための強力な基盤を提供します.
科学分野:
- ロボット
- 人工知能
- 制御システム
背景:
- 学習ベースのロボットシステムには,初期トレーニングのために多くのデータとコンピューティングリソースが必要です.
- モデルベースの制御やエンジニアリングデザインなどの伝統的な方法は,ロボット開発に構造的なアプローチを提供します.
関連する概念動画
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