A Task Allocation Method in Human-Robot Collaboration (HRC) for the Disassembly of Automotive Traction Batteries

Liu, Ya; Jiang, Zhigang; Ke, Chao

doi:10.1109/iccsi55536.2022.9970619

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Ein weiteres vorherrschendes Thema in der Literatur ist die wesentliche Verbindung zwischen MRK und Demontageaktionen. Roboter spielen eine zentrale Rolle bei der Automatisierung und Rationalisierung des Demontageprozesses, oft in Verbindung mit menschlicher Anleitung [13][14][15][16][17][18][19]. Diese Synergie verbessert die Entscheidungsfindung durch Bereitstellung von Echtzeitdaten über Zustand der Komponenten, Recycelbarkeit und die Möglichkeit zur Aufarbeitung [20][21][22].…”

Section: Anwendungsbereichunclassified

Stärken von Cobots und Menschen kombinieren/Enhancing circularity decision-making for end-of-usage products through human-robot collaboration in a circular economy

Braun,

Löffler

2024

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Das Konzept der zirkulären Wertschöpfung beschreibt ein nachhaltiges Wirtschaftssystem. Aktuell ist es jedoch herausfordernd den Produktlebenszyklus so zu erweitern, damit Produkte langfristig im Wirtschaftssystem erhalten bleiben. Erforderlich sind Ansätze, mit denen Produktzustände diagnostizierbar sind und unkompliziert der bestmögliche Rückgewinnungsweg dargestellt werden kann. An dieser Stelle setzt dieser Beitrag an. Aufgezeigt wird, wie eine Mensch-Roboter-Kollaboration MRK die Entscheidungsfindung für eine Kreislaufwirtschaft befähigen kann.

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Section: Anwendungsbereichunclassified

Stärken von Cobots und Menschen kombinieren/Enhancing circularity decision-making for end-of-usage products through human-robot collaboration in a circular economy

Braun,

Löffler

2024

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“…[38] and [39] apply timeline-based planning in TAMP framework to a semi-automated assembly/disassembly industrial case study. [40] proposed a task allocation technique for HRC using a neural network for electric vehicle battery disassembly. [41] takes up the MILP formulation to handle allocation and scheduling for the assembly of printed circuit boards by solving it using metaheuristic techniques.…”

Section: Related Workmentioning

confidence: 99%

Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts

Sandrini,

Faroni,

Pedrocchi

2023

Preprint

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Modern hybrid robot cells leverage heterogeneous agents to provide agile production solutions. Effective agent coordination is crucial to avoid inefficiencies and potential hazards for human operators working among robots. This paper proposes a new human-aware task allocation and scheduling model based on Mixed Integer Non-Linear Programming (MINLP) to optimize efficiency and safety during task planning, scheduling, and allocation. The approach introduces a synergy index that encodes the coupling effects between pairs of tasks executed in parallel by the agents. These terms are learned from previous process executions by means of a Bayesian linear estimation. The task planning model is enhanced by the knowledge of synergy terms to adapt the nominal duration of the plan to consider the effect of the operator’s presence. Simulations and experimental results demonstrate the effectiveness of the proposed method in obtaining a proactive human-aware solution starting from the task planning level. The proposed model reduces process execution time and achieves solutions with less agent interference, more considerable human-robot distance, and, thus, safer for agents.

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Towards a green electromobility transition: A systematic review of the state of the art on electric vehicle battery systems disassembly

Hertel,

Bräunig,

Thürer

2024

Journal of Manufacturing Systems

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A Task Allocation Method in Human-Robot Collaboration (HRC) for the Disassembly of Automotive Traction Batteries

Cited by 3 publications

References 8 publications

Stärken von Cobots und Menschen kombinieren/Enhancing circularity decision-making for end-of-usage products through human-robot collaboration in a circular economy

Stärken von Cobots und Menschen kombinieren/Enhancing circularity decision-making for end-of-usage products through human-robot collaboration in a circular economy

Learning and planning for optimal synergistic human-robot coordination in manufacturing contexts

Towards a green electromobility transition: A systematic review of the state of the art on electric vehicle battery systems disassembly

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