刚度(电磁)
机器人学
人工智能
机器人
有效载荷(计算)
过程(计算)
软机器人
计算机科学
多样性(控制论)
领域(数学)
工程类
系统工程
计算机网络
数学
结构工程
网络数据包
纯数学
操作系统
作者
Sotiris Makris,Franz Dietrich,Karel Kellens,Shaolong Hu
出处
期刊:CIRP Annals
[Elsevier]
日期:2023-01-01
卷期号:72 (2): 513-539
被引量:7
标识
DOI:10.1016/j.cirp.2023.05.003
摘要
Many assembled products contain parts that are not rigid, and there is a large variety of such parts, which might be as different as cables, sheet metals, plastic covers, or foams. The assembly processes of such products may also involve non-rigidity in the tools used. Non-rigidity in the parts and tools adds additional degrees of freedom to the assembly processes and systems, which, on the one hand, adds engineering complexity, and on the other hand, may be the key for superior solutions. This paper reviews recent developments in models, methods, handling techniques, and control of such parts at the assembly station and systems levels with a main focus on applications related to the manufacturing industry. The core areas of knowledge addressed by this paper cover advanced models for non-rigid objects, process and system planning, new tooling, and new control concepts based on perception and human-robot interaction. More research work is expected in the field of modelling and perception due to the development of computer vision, robotics, and artificial intelligence. New advances on the processing and assembly hardware can also be expected due to the highly active research field of soft material robotics and high-payload-gripping with soft material versatility.
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