重力負荷下での大型高力ソフトロボットマニピュレータの設計最適化
Design Optimization for Large High-Force Soft Robot Manipulators Under Gravitational Loads
ソフトロボットの腕の形状を最適化し、自重による座屈を防ぎつつブロッキング力を最大化する手法を提案。閉形式解を示し、実験で有効性を検証した。
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2. 先行研究と比べてどこがすごい？
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著者: Isara Cholaseuk, Penelope Llibre, Alexa Kyriacou, Audrey Wang, Akua K. Dickson, Ran Jing, Juan C. Pacheco Garcia, Andrew P. Sabelhaus
分類: cs.RO
原文アブストラクト
Designing large soft robots capable of generating high forces for physical human-robot interaction remains a significant challenge in soft robotics. Prior work in large soft robots has focused on proof-of-concept prototypes, and no systematic framework exists for determining the suitability of a design paradigm for a desired task. This manuscript introduces a method for optimizing the geometry of a soft robot limb, maximizing its blocking force subject to an anti-bucking constraint under its own gravitational loading. We demonstrate that an explicit solution exists to the proposed optimization problem under certain assumptions. Experiments with three geometries of a large, soft, pneumatically-actuated manipulator demonstrate that the method correctly predicts which designs meet constraints and which produces the largest end-effector forces. This method, with its closed-form solution, can allow designers to determine a-priori if an intended class of soft manipulators is an appropriate choice for physical interaction at large size scales.