タコに着想を得た軟体連続腕における適応的屈曲点形成
Adaptive Bendpoint Formation in Octopus-Inspired Soft Continuum Arms
腱駆動の軟体腕に膨張式シェルを組み込み、摩擦を変えて腱の固定点を任意位置に移すことで、単一腱でも腕の各部分の曲率を独立に調整できるようにした研究。
著者: Jessica Gumowski, Julian Finn, Krishna Manaswi Digumarti, David Howard
分類: cs.RO
原文アブストラクト
Octopuses exhibit a powerful form of embodied intelligence from a highly adaptable soft body. One key mechanism is the ability to instantiate bending points at any location along the arm, which enables performant and dexterous behaviours. Taking inspiration from the octopus for its dexterity, this study focuses on changing the curvature of a tendon-actuated arm by adaptively changing the anchoring end-point along the arm. An array of inflatable shells is integrated into the arm, where inflating a shell causes an increase in friction at the location, jamming the tendon and creating a temporary new anchoring point. The novel soft actuator does not break the continuity of the arm between the actuated segment and the loose segment. Experiments show that the actuated segment has a non-constant bell-shaped curvature which is comparable to that of a real octopus arm during a reaching motion. Compared to conventional single-tendon continuum manipulators, the proposed design offers an expanded workspace and enhanced dexterity through the ability to independently shape different regions of the arm through selective curvature tuning. At the same time, it avoids the mechanical complexity typically associated with multi-segment, multi-actuator systems.
関連論文
- 9回の試行で復帰:ソフトロボットの損傷適応を再現可能に評価するベンチマークソフトロボティクス
- ソフトロボットのための可観測性に基づく最適センサ配置ソフトロボティクス
- 耐荷重と損傷耐性を両立する能動3D織り構造ロコモーションソフトロボティクス
- 椎骨型ソフトロボットテールの学習ベース圧力予測制御ソフトロボティクス
- 手首の適応的剛性制御を再現する人間模倣ソフトロボット前腕ソフトロボティクス
- ソフトロボットのためのコロケーテッド形状制御ソフトロボティクス