Robotics Autonomous Systems (RAS) in Food Laboratories are the Future of Food Processing Industries: A Review

Mohan A J, Mounica V, Shanthilal J, Madhavi R
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Abstract

Recent advancements in robotics have witnessed significant progress in both industrial and mobile robotics, paving the way for a new era of automation. However, a paradigm shift is underway in robotics research, focusing on enhancing the interaction between humans and robots, termed as service robotics. This emerging field aims to cater to a wide array of human social needs by bridging the gap between man and machine. Traditionally, laboratory automation has been constrained by the rigid control mechanisms of computer-driven robots. Despite their utility, particularly in liquid handling tasks, many laboratory procedures remain only partially automated. Nonetheless, by breaking down laboratory processes into discrete unit operations and integrating them, overarching analysis schemes can be accomplished. The future of laboratory automation necessitates interdisciplinary skills, requiring scientists to blend biological knowledge with engineering expertise to fully exploit its potential. Simultaneously, a new wave of robotic innovations is permeating various sectors, from robot lawn mowers to autonomous vehicles, alongside smarter robots in manufacturing environments. This progression underscores the increasing reliance on automation, with future research endeavours expected to pivot towards leveraging laboratory automation to tackle novel scientific challenges. This abstract underscore the necessity for future scientists to acquire a comprehensive skill set that integrates both biological knowledge and engineering expertise. It highlights the trend towards greater automation in laboratory environments, representing the merging of scientific and engineering fields to tackle new research challenges.
食品实验室中的机器人自主系统 (RAS) 是食品加工业的未来:综述
近年来,机器人技术在工业机器人和移动机器人领域都取得了重大进展,为自动化新时代的到来铺平了道路。然而,机器人研究的范式正在发生转变,其重点是加强人与机器人之间的互动,即服务机器人技术。这一新兴领域旨在通过缩小人与机器之间的差距,满足人类广泛的社会需求。传统上,实验室自动化一直受制于计算机驱动机器人的刚性控制机制。尽管这些机器人非常有用,尤其是在液体处理任务中,但许多实验室程序仍然只能实现部分自动化。不过,通过将实验室流程分解为离散的单元操作并加以整合,可以实现总体分析方案。实验室自动化的未来需要跨学科技能,要求科学家将生物知识与工程专业知识相结合,以充分挖掘其潜力。与此同时,从机器人割草机到自动驾驶汽车,再到制造环境中的智能机器人,新一轮机器人创新浪潮正在渗透各个领域。这一进步凸显了对自动化的日益依赖,预计未来的研究工作将转向利用实验室自动化来应对新的科学挑战。这份摘要强调,未来的科学家必须掌握一套综合技能,将生物知识和工程专业知识融为一体。它强调了实验室环境中更大程度自动化的趋势,代表着科学与工程领域的融合,以应对新的研究挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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