Adaptive synergies for the design and control of the Pisa/IIT SoftHand

计算机科学 欠驱动 集合(抽象数据类型) 适应(眼睛) 控制工程 执行机构 机器人 人工智能 工程类 物理 光学 程序设计语言
作者
Manuel G. Catalano,Giorgio Grioli,Edoardo Farnioli,Alessandro Serio,Cristina Piazza,Antonio Bicchi
出处
期刊:The International Journal of Robotics Research [SAGE Publishing]
卷期号:33 (5): 768-782 被引量:605
标识
DOI:10.1177/0278364913518998
摘要

In this paper we introduce the Pisa/IIT SoftHand, a novel robot hand prototype designed with the purpose of being robust and easy to control as an industrial gripper, while exhibiting high grasping versatility and an aspect similar to that of the human hand. In the paper we briefly review the main theoretical tools used to enable such simplification, i.e. the neuroscience-based notion of soft synergies. A discussion of several possible actuation schemes shows that a straightforward implementation of the soft synergy idea in an effective design is not trivial. The approach proposed in this paper, called adaptive synergy, rests on ideas coming from underactuated hand design. A synthesis method to realize a desired set of soft synergies through the principled design of adaptive synergy is discussed. This approach leads to the design of hands accommodating in principle an arbitrary number of soft synergies, as demonstrated in grasping and manipulation simulations and experiments with a prototype. As a particular instance of application of the synthesis method of adaptive synergies, the Pisa/IIT SoftHand is described in detail. The hand has 19 joints, but only uses 1 actuator to activate its adaptive synergy. Of particular relevance in its design is the very soft and safe, yet powerful and extremely robust structure, obtained through the use of innovative articulations and ligaments replacing conventional joint design. The design and implementation of the prototype hand are shown and its effectiveness demonstrated through grasping experiments, reported also in multimedia extension.
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