SoftHandler: An Integrated Soft Robotic System for Handling Heterogeneous Objects
Franco Angelini, Cristiano Petrocelli, Manuel G. Catalano, Manolo Garabini, Giorgio Grioli, Antonio Bicchi
- 发表年份
- 2020
- 引用次数
- 20
- 访问权限
- 开放获取
摘要
The picking performance of a robot can be severely affected by measurement errors, especially when handling objects that are fragile or irregular in shape and size. This is one of the main reasons that the problem of autonomously picking and placing objects is not solved. In this article, we exploit the “embodied” intelligence of soft robotic technologies to propose an integrated system, named SoftHandler, capable of overcoming some of the limitations of traditional pick-and-place industrial robots. The SoftHandler (Figure 1) integrates a novel parallel soft manipulator, the SoftDelta, and a novel soft end effector, the Pisa/(Istituto Italiano di Tecnologia) IIT SoftGripper.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002