Therblig to Robot

Q4 Engineering
Spool Pub Date : 2024-07-01 DOI:10.47982/spool.2024.1.03
Dagmar Reinhardt, Lynn Masuda
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引用次数: 0

Abstract

Industrial robotic arms commonly require specialist knowledge for machine functions. Specifically, training cobots for work sequences is time consuming and complex when task complexity increases, such as through differentiation in tool adaptations or work processes. This research explores robot versatility for a context of domestic environments (such as a kitchen/workshop), where work processes are approached as a hybrid scenario, with setup for integration of a tool variety whereby human-robot teams collaborate. The paper discusses a) novel workflows based on a palette of work tools adopted for robot tooling to translate manual human tasks to human-robot tasks; b) an initial script series for work processes that represents modelling, planning, simulation, and implementation; c) a framework for task division through action sets based on Therbligs that supports users; and d) an empirical evaluation of the approach through a series of user studies. In a post-carbon context, previously autonomous robots are required to become more versatile in terms of productivity, scalability, safety and skill criteria and environmental impact. This research extends beyond traditional kitchens to include workshop and fabrication scenarios characterised by the complexity and variability of task applications, guided by detailed action packages that explore robotic work for modular components or fluid and liquid materials; heat and assembly-based processing; and bridges from food preparation to fabrication and manufacturing tasks.
Therblig 至机器人
工业机械臂通常需要专业知识来实现机器功能。具体来说,当任务复杂性增加时,例如工具适应性或工作流程的差异化,训练机器人的工作序列既耗时又复杂。本研究探讨了机器人在家庭环境(如厨房/车间)中的多功能性,在这种环境中,工作流程被视为一种混合场景,并设置了多种工具集成,从而实现人类与机器人团队的协作。本文讨论了 a) 基于机器人工具所采用的工作工具调色板的新型工作流程,以将人类手动任务转化为人类-机器人任务;b) 代表建模、规划、模拟和实施的工作流程初始脚本系列;c) 基于 Therbligs 的行动集的任务分工框架,为用户提供支持;d) 通过一系列用户研究对该方法进行实证评估。在后碳时代背景下,以前的自主机器人需要在生产率、可扩展性、安全和技能标准以及环境影响方面变得更加全面。这项研究超越了传统的厨房,将以任务应用的复杂性和多变性为特征的车间和制造场景纳入其中,并以详细的行动包为指导,探索机器人在模块化组件或流体和液体材料方面的工作;以热和装配为基础的加工;以及从食品准备到制造和生产任务的衔接。
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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来源期刊
Spool
Spool Engineering-Architecture
CiteScore
0.40
自引率
0.00%
发文量
0
审稿时长
21 weeks
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