暗闇の中での押し動作:触覚フィードバックを用いた移動ロボットの反応的押し戦略
Pushing in the Dark: A Reactive Pushing Strategy for Mobile Robots Using Tactile Feedback
移動ロボットが触覚センサからの接触位置変化に基づき、対象物の特性を仮定せずにリアルタイムで押し動作を調整する反応的戦略を提案し、シミュレーションと実機実験で有効性を示した。
著者: Idil Ozdamar, Doganay Sirintuna, Robin Arbaud, Arash Ajoudani
分類: cs.RO
原文アブストラクト
For mobile robots, navigating cluttered or dynamic environments often necessitates non-prehensile manipulation, particularly when faced with objects that are too large, irregular, or fragile to grasp. The unpredictable behavior and varying physical properties of these objects significantly complicate manipulation tasks. To address this challenge, this manuscript proposes a novel Reactive Pushing Strategy. This strategy allows a mobile robot to dynamically adjust its base movements in real-time to achieve successful pushing maneuvers towards a target location. Notably, our strategy adapts the robot motion based on changes in contact location obtained through the tactile sensor covering the base, avoiding dependence on object-related assumptions and its modeled behavior. The effectiveness of the Reactive Pushing Strategy was initially evaluated in the simulation environment, where it significantly outperformed the compared baseline approaches. Following this, we validated the proposed strategy through real-world experiments, demonstrating the robot capability to push objects to the target points located in the entire vicinity of the robot. In both simulation and real-world experiments, the object-specific properties (shape, mass, friction, inertia) were altered along with the changes in target locations to assess the robustness of the proposed method comprehensively.
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