Liu Renke, Zheng Huakai, Hliboký Maroš, Endo Hiroki, Zhang Shuyao, Baba Yusuke, Sawada Hideyuki
Department of Pure and Applied Physics, Waseda University, Tokyo 169-8555, Japan.
Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 040-01 Košice, Slovakia.
Biomimetics (Basel). 2024 Mar 1;9(3):151. doi: 10.3390/biomimetics9030151.
This research introduces an advanced robotic finger designed for future generalist robots, closely mimicking the natural structure of the human finger. The incorporation of rarely discussed anatomical structures, including tendon sheath, ligaments, and palmar plates, combined with the usage of anatomically proven 3D models of the finger, give rise to the highly accurate replication of human-like soft mechanical fingers. Benefiting from the accurate anatomy of muscle insertions with the utilization of Shape Memory Alloy (SMA) wires' muscle-like actuation properties, the bonding in-between the flexor tendons and extensor tendons allows for the realization of the central and lateral band of the finger anatomy. Evaluated using the computer vision method, the proposed robotic finger demonstrates a range of motion (ROM) equivalent to 113%, 87% and 88% of the human dynamic ROM for the DIP, PIP and MCP joints, respectively. The proposed finger possesses a soft nature when relaxed and becomes firm when activated, pioneering a new approach in biomimetic robot design and offering a unique contribution to the future of generalist humanoid robots.
本研究介绍了一种为未来通用机器人设计的先进机器人手指,它紧密模仿人类手指的自然结构。纳入了很少被讨论的解剖结构,包括腱鞘、韧带和掌板,并结合经解剖学验证的手指三维模型,实现了高度逼真的类人柔性机械手指的复制。利用形状记忆合金(SMA)丝的类肌肉驱动特性,得益于肌肉附着点的精确解剖结构,屈肌腱和伸肌腱之间的连接实现了手指解剖结构的中央束和侧束。通过计算机视觉方法评估,所提出的机器人手指的运动范围(ROM)分别相当于人类手指远侧指间关节(DIP)、近侧指间关节(PIP)和掌指关节(MCP)动态ROM的113%、87%和88%。所提出的手指在放松时具有柔性,激活时变得坚硬,开创了仿生机器人设计的新方法,为未来通用人形机器人的发展做出了独特贡献。