返回
Sensor-Enhanced Smart Gripper Development for Automated Meat Processing
DOI:10.3390/s24144631.png)
摘要
En 中文
Grasping and object manipulation have been considered key domains of Cyber-Physical Systems (CPS) since the beginning of automation, as they are the most common interactions between systems, or a system and its environment. As the demand for automation is spreading to increasingly complex fields of industry, smart tools with sensors and internal decision-making become necessities. CPS, such as robots and smart autonomous machinery, have been introduced in the meat industry in recent decades; however, the natural diversity of animals, potential anatomical disorders and soft, slippery animal tissues require the use of a wide range of sensors, software and intelligent tools. This paper presents the development of a smart robotic gripper for deployment in the meat industry. A comprehensive review of the available robotic grippers employed in the sector is presented along with the relevant recent research projects. Based on the identified needs, a new mechatronic design and early development process of the smart gripper is described. The integrated force sensing method based on strain measurement and magnetic encoders is described, including the adjacent laboratory and on-site tests. Furthermore, a combined slip detection system is presented, which relies on an optical flow-based image processing algorithm using the video feed of a built-in endoscopic camera. Basic user tests and application assessments are presented.
Keyword:
robotic meat processing
smart gripper
gripping force control
slip detection
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Image-Guided Interventional Robotics: Lost in Translation?图像引导介入机器人: 迷失在翻译中?
PROCEEDINGS OF THE IEEE
IF25.9
Robot-Assisted Minimally Invasive Surgery-Surgical Robotics in the Data Age机器人辅助微创手术 -- 数据时代的手术机器人
PROCEEDINGS OF THE IEEE
IF25.9

