半導体製造における協働ロボットの教示のための実体感のある没入型インターフェース
Towards Tangible Immersion for Cobot Programming-by-Demonstration: Visual, Tactile and Haptic Interfaces for Mixed-Reality Cobot Automation in Semiconductor Manufacturing
半導体製造での協働ロボット自動化に向け、複合現実環境で視覚・触覚・力覚を統合した教示インターフェースを提案し、実体感のある操作を実現する。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: David I. Gonzalez-Aguirre, Javier Felip Leon, Javier Felix-Rendon, Roderico Garcia-Leal, Julio C. Zamora Esquivel
分類: cs.RO, cs.HC
原文アブストラクト
Sensor-based reactive and hybrid approaches have proven a promising line of study to address imperfect knowledge in grasping and manipulation. However the reactive approaches are usually tightly coupled to a particular embodiment making transfer of knowledge difficult. This paper proposes a paradigm for modeling and execution of reactive manipulation actions, which makes knowledge transfer to different embodiments possible while retaining the reactive capabilities of the embodiments. The proposed approach extends the idea of control primitives coordinated by a state machine by introducing an embodiment independent layer of abstraction. Abstract manipulation primitives constitute a vocabulary of atomic, embodiment independent actions, which can be coordinated using state machines to describe complex actions. To obtain embodiment specific models, the abstract state machines are automatically translated to embodiment specific models, such that full capabilities of each platform can be utilized. The strength of the manipulation primitives paradigm is demonstrated by developing a set of corresponding embodiment specific primitives for object transport, including a complex reactive grasping primitive. The robustness of the approach is experimentally studied in emptying of a box filled with several unknown objects. The embodiment independence is studied by performing a manipulation task on two different platforms using the same abstract description.
