利用
机器人
软机器人
机器人末端执行器
贴片设备
人工智能
计算机科学
工程类
计算机视觉
计算机安全
作者
Franco Angelini,Cristiano Petrocelli,Manuel G. Catalano,Manolo Garabini,Giorgio Grioli,Antonio Bicchi
出处
期刊:IEEE Robotics & Automation Magazine
[Institute of Electrical and Electronics Engineers]
日期:2020-02-04
卷期号:27 (3): 55-72
被引量:18
标识
DOI:10.1109/mra.2019.2955952
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI