Core Processes in Intelligent Robotic Lab Assistants: Flexible Liquid Handling

自动化 工作区 计算机科学 机器人 移液管 实验室自动化 人机交互 灵活性(工程) 人工智能 过程(计算) 工程类 机械工程 操作系统 统计 数学 物理化学 化学
作者
Dennis Knobbe,Henning Zwirnmann,Moritz Eckhoff,Sami Haddadin
出处
期刊: 被引量:7
标识
DOI:10.1109/iros47612.2022.9981636
摘要

Laboratory automation is a suitable solution to establish higher reproducibility with less manual work and thus higher quality standards in life sciences. To date, mobile robots are capable of performing autonomous pick-and-place tasks in the laboratory, and specialized pipetting machines can be used for sequenced liquid handling. However, the complex and creative process of developing new research protocols requires flexible robotic systems that can perform tasks such as pipetting in more versatile ways. In addition, the correct technique, according to ISO standards, has a great influence on precision and accuracy and therefore on reproducibility. This paper introduces our Intelligent Robotic Lab Assistants in the framework of our holistic, human-like, but standardized paradigm for collaborative lab automation, AI.Laboratory. Our system demonstrates mastery of pipetting following ISO 8655 as a force-sensitive robotic manipulation skill, which is a key component of our taxonomy of cell culture skills and the first steps toward true intelligent robotic laboratory assistants. This intelligent robotic pipetting skill is a versatile tool for general handling of µL-liquids, using only standard laboratory equipment that can be flexibly positioned in the robot's workspace. To demonstrate its pipetting performance, flexible handling of small volumes from 10 µL to 1000 µL was experimentally validated to the ISO 8655 standard, demonstrating superhuman performance that outperformed laymen, human experts, and other commercial and non-commercial robotic pipetting systems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
星之芋完成签到,获得积分10
刚刚
hwm应助a海w采纳,获得10
1秒前
腾空星发布了新的文献求助10
1秒前
小蘑菇应助verdure采纳,获得10
1秒前
1秒前
Akim应助LIYI采纳,获得10
2秒前
李嘉琪完成签到,获得积分10
4秒前
Orange应助由思琦采纳,获得10
5秒前
7秒前
xty完成签到,获得积分10
8秒前
小二郎应助Glovexx采纳,获得10
8秒前
王彬完成签到,获得积分10
9秒前
9秒前
安静的卿完成签到,获得积分10
10秒前
Jie应助Nia采纳,获得10
10秒前
tang发布了新的文献求助20
10秒前
13秒前
verdure发布了新的文献求助10
14秒前
14秒前
秋天的雪发布了新的文献求助10
14秒前
科研通AI6.2应助Gao采纳,获得10
16秒前
科研通AI6.4应助111采纳,获得10
16秒前
17秒前
18秒前
桐桐应助cchenn采纳,获得10
19秒前
dian完成签到 ,获得积分10
19秒前
科研通AI6.4应助缺牙齿采纳,获得10
19秒前
佳佳完成签到,获得积分10
20秒前
22秒前
由思琦发布了新的文献求助10
23秒前
小二郎应助QQ采纳,获得10
23秒前
26秒前
26秒前
小张完成签到,获得积分10
27秒前
佳佳发布了新的文献求助10
30秒前
30秒前
ZZhou发布了新的文献求助10
33秒前
verdure完成签到,获得积分10
34秒前
香蕉觅云应助HRX采纳,获得10
35秒前
勤恳媚颜完成签到,获得积分10
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631651
求助须知:如何正确求助?哪些是违规求助? 9206098
关于积分的说明 19743435
捐赠科研通 7200868
什么是DOI,文献DOI怎么找? 3274651
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271265