JP7369890B1 - ロボットを制御する装置及び方法 - Google Patents
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- G05D2101/15—Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques using machine learning, e.g. neural networks
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Abstract
Description
本開示は、ロボットを制御する装置及び方法に関する。
種々の実施形態によれば、ロボット装置用の制御ポリシーをトレーニングするための方法であって、ロボット装置の環境の基準状態と当該基準状態に対する環境の基準観察とを取得することと、ロボット装置の姿勢推定の複数の誤差のそれぞれについて、姿勢推定の誤差に従って基準観察に対して妨害された観察と、トレーニング入力としての、生成された観察を含むトレーニングデータ要素とを生成することと、生成されたトレーニングデータ要素を使用して制御ポリシーをトレーニングすることと、を含む方法が提供される。
[i-開ループ選択]ここでは、ポリシーが、ブルドーザ100の到達すべき中間点を出力する。この場合、姿勢推定の誤差は、状態から観察までの最適でない投影として提示される。
[ii-閉ループ]ここでは、姿勢推定における誤差が、軌道の実行のためにブルドーザの下位の制御装置へフィードバックされる。この場合、誤差がシステムを通して伝播され、所望の経路からの逸脱が生じる。
Claims (9)
- ロボット装置用の制御ポリシーをトレーニングするための方法であって、
前記ロボット装置の環境の基準状態と前記基準状態に対する前記環境の基準観察とを取得することと、
前記ロボット装置の姿勢推定の複数の誤差のそれぞれについて、前記姿勢推定の誤差に従って前記基準観察に対して妨害された観察と、トレーニング入力としての、生成された観察を含むトレーニングデータ要素とを生成することと、
生成された前記トレーニングデータ要素を使用して前記制御ポリシーをトレーニングすることと、
を含む方法。 - 前記誤差のうちの少なくともいくつかのそれぞれが、設けられている前記ロボット装置の姿勢推定機能部によってセンサ測定データに応答して形成される姿勢推定結果と基準姿勢との間の誤差であり、前記センサ測定データは、前記基準姿勢においてそれぞれのノイズによって妨害された場合に前記ロボット装置が取得するはずのセンサ測定データである、請求項1に記載の方法。
- 前記センサ測定データは、前記ロボット装置の慣性測定ユニットの測定データ及び前記環境を観察するカメラからの画像データを含み、
前記姿勢推定機能部は、前記姿勢推定結果を決定するためのセンサフュージョンを実行する、
請求項2に記載の方法。 - 姿勢推定結果不確実性を出力する姿勢推定を実行することと、
前記姿勢推定結果の周囲の前記姿勢推定結果不確実性に従って誤差分布からのサンプリングを行うことにより、前記誤差のうちの少なくともいくつかを生成することと、
を含む、請求項2に記載の方法。 - 前記ロボット装置は、工事車両であり、前記環境は、工事現場である、請求項1に記載の方法。
- ロボット装置を制御するための方法であって、
請求項1に記載の方法を使用して制御ポリシーをトレーニングすることと、
環境を観察して観察を生成することと、
トレーニングされた前記制御ポリシーを用いて、前記観察から1つ又は複数の動作を決定することと、
前記ロボット装置により前記ロボット装置の姿勢を推定することと、
観察された前記環境内の推定姿勢を考慮して、前記1つ又は複数の動作を実行することと、
を含む方法。 - 請求項1に記載の方法を実施するように構成されている制御装置。
- コンピュータにより実行されるときに、請求項1に記載の方法を前記コンピュータに実施させるための命令を含むコンピュータプログラム。
- コンピュータにより実行されるときに、請求項1に記載の方法を前記コンピュータに実施させるための命令を備えるコンピュータ可読媒体。
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DE102022208089.0A DE102022208089A1 (de) | 2022-08-03 | 2022-08-03 | Vorrichtung und Verfahren zum Steuern eines Roboters |
DE102022208089.0 | 2022-08-03 |
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US (1) | US20240045434A1 (ja) |
JP (1) | JP7369890B1 (ja) |
KR (1) | KR20240019042A (ja) |
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DE (1) | DE102022208089A1 (ja) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2010152787A (ja) | 2008-12-26 | 2010-07-08 | Fujitsu Ltd | 環境地図生成プログラム、環境地図生成方法及び移動ロボット |
CN111890351A (zh) | 2020-06-12 | 2020-11-06 | 深圳先进技术研究院 | 机器人及其控制方法、计算机可读存储介质 |
JP2022106924A (ja) | 2015-11-02 | 2022-07-20 | スターシップ テクノロジーズ オウ | 自律的な自己位置推定のためのデバイス及び方法 |
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KR102165967B1 (ko) | 2017-11-17 | 2020-10-15 | 미쓰비시덴키 가부시키가이샤 | 3차원 공간 감시 장치, 3차원 공간 감시 방법, 및 3차원 공간 감시 프로그램 |
US20200156241A1 (en) | 2018-11-21 | 2020-05-21 | Ford Global Technologies, Llc | Automation safety and performance robustness through uncertainty driven learning and control |
DE102019200435A1 (de) | 2019-01-16 | 2020-07-16 | Robert Bosch Gmbh | Verfahren zur Bereitstellung eines kinematischen Modells für kinematische Arbeitssysteme |
DE102019209616A1 (de) | 2019-07-01 | 2021-01-07 | Kuka Deutschland Gmbh | Durchführen einer vorgegebenen Aufgabe mithilfe wenigstens eines Roboters |
EP3998140A4 (en) | 2019-08-28 | 2022-09-28 | Daily Color Inc. | ROBOT CONTROL DEVICE |
US20210252698A1 (en) | 2020-02-14 | 2021-08-19 | Nvidia Corporation | Robotic control using deep learning |
DE102020103854B4 (de) | 2020-02-14 | 2022-06-15 | Franka Emika Gmbh | Maschinelles Lernen einer erfolgreich abgeschlossenen Roboteranwendung |
US11878419B2 (en) | 2020-06-26 | 2024-01-23 | Intel Corporation | Affordance-aware, multi-resolution, free-form object manipulation planning |
DE102020212658A1 (de) | 2020-10-07 | 2022-04-07 | Robert Bosch Gesellschaft mit beschränkter Haftung | Vorrichtung und Verfahren zum Steuern einer Robotervorrichtung |
DE102020214177A1 (de) | 2020-11-11 | 2022-05-12 | Robert Bosch Gesellschaft mit beschränkter Haftung | Vorrichtung und Verfahren zum Trainieren einer Steuerungsstrategie mittels bestärkendem Lernen |
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- 2022-08-03 DE DE102022208089.0A patent/DE102022208089A1/de active Pending
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- 2023-07-31 US US18/362,311 patent/US20240045434A1/en active Pending
- 2023-08-02 JP JP2023126350A patent/JP7369890B1/ja active Active
- 2023-08-02 CN CN202310969071.1A patent/CN117506886A/zh active Pending
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2010152787A (ja) | 2008-12-26 | 2010-07-08 | Fujitsu Ltd | 環境地図生成プログラム、環境地図生成方法及び移動ロボット |
JP2022106924A (ja) | 2015-11-02 | 2022-07-20 | スターシップ テクノロジーズ オウ | 自律的な自己位置推定のためのデバイス及び方法 |
CN111890351A (zh) | 2020-06-12 | 2020-11-06 | 深圳先进技术研究院 | 机器人及其控制方法、计算机可读存储介质 |
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KR20240019042A (ko) | 2024-02-14 |
CN117506886A (zh) | 2024-02-06 |
JP2024022545A (ja) | 2024-02-16 |
US20240045434A1 (en) | 2024-02-08 |
DE102022208089A1 (de) | 2024-02-08 |
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