閉ループシミュレーションによる液体の推論
Reasoning About Liquids via Closed-Loop Simulation
液体シミュレーションと実時間知覚を閉ループで結び、観測でシミュレータ内の液体状態の誤差を補正することで、実世界との大きな乖離を防ぎ、遮蔽された液体の推論を可能にした。
著者: Connor Schenck, Dieter Fox
分類: cs.RO, cs.CV
原文アブストラクト
Simulators are powerful tools for reasoning about a robot's interactions with its environment. However, when simulations diverge from reality, that reasoning becomes less useful. In this paper, we show how to close the loop between liquid simulation and real-time perception. We use observations of liquids to correct errors when tracking the liquid's state in a simulator. Our results show that closed-loop simulation is an effective way to prevent large divergence between the simulated and real liquid states. As a direct consequence of this, our method can enable reasoning about liquids that would otherwise be infeasible due to large divergences, such as reasoning about occluded liquid.
