☆ 4.5 Article

Multi-Agent Reinforcement Learning Method for Disassembly Sequential Task Optimization Based on Human-Robot Collaborative Disassembly in Electric Vehicle Battery Recycling

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Review Electrochemistry

A Review on Dynamic Recycling of Electric Vehicle Battery: Disassembly and Echelon Utilization

Jinhua Xiao et al.

Summary: With the increasing demand for retired EVs, the recycling of EV batteries is attracting more attention towards its disassembly and echelon utilization to ensure efficient resource utilization and environmental protection. This paper discusses various possible methods for echelon utilization, including hierarchical analysis based on battery evaluation index, and reviews the retired EV battery disassembly through human-robot collaboration. Finding a suitable recycling mode and disassembly process is essential to improve efficiency and reduce costs in EV recycling. This study explores the future potential of echelon utilization and disassembly in retired EV battery recycling, facing uncertainties in disassembly and echelon utilization.

BATTERIES-BASEL (2023)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Human-robot collaboration in industrial environments: A literature review on non-destructive disassembly*

Sebastian Hjorth et al.

Summary: In response to inefficiencies in recycling processes, industries are adopting circular economy business models and remanufacturing processes to increase sustainable use of natural resources. Human-Robot Collaborative Disassembly (HRCD) is identified as a solution to the challenges posed by the complexity and uncertainty of remanufacturing processes.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)

添加到收藏夹

Article Engineering, Industrial

Digital twin-enabled advance execution for human-robot collaborative assembly

Sichao Liu et al.

Summary: This paper investigates a human-robot collaborative assembly system driven by digital twin and function blocks, which enables precise assembly planning and adaptive robot control through sensor data and real-time condition monitoring. Additionally, an augmented reality-based interaction method using HoloLens optimizes human-robot interaction experience.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2022)

添加到收藏夹

Article Engineering, Environmental

Multi-objective optimisation for cell-level disassembly of waste power battery modules in human-machine hybrid mode

Tengfei Wu et al.

Summary: In this study, a human-machine collaborative cell-level disassembly model of waste power battery modules (WPBMs) is proposed. The reliability and validity of the model are verified through a case study with WPBMs from the Tesla Model S. Two different disassembly schemes are obtained based on actual data, which optimize four objectives simultaneously. The proposed model provides decision-makers with additional options when considering the number of workers as an enterprise risk indicator.

WASTE MANAGEMENT (2022)

添加到收藏夹

Article Energy & Fuels

Robotic Disassembly of Electric Vehicles' Battery Modules for Recycling

Ian Kay et al.

Summary: This paper explores the use of industrial robots for the automated disassembly of electric vehicle battery modules. By analyzing the operations performed by human workers, the gripping and cutting operations were selected for automation and path planning was conducted offline. Experimental validation showed that the robot was faster in cutting but slower in pick and place operations compared to manual disassembly. It was concluded that a human-robot collaboration offers the best option for disassembly, providing both safety and time efficiency improvements.

ENERGIES (2022)

添加到收藏夹

Article Automation & Control Systems

Toward Proactive Human-Robot Collaborative Assembly: A Multimodal Transfer-Learning-Enabled Action Prediction Approach

Shufei Li et al.

Summary: This article proposes a multimodal transfer-learning-enabled action prediction approach, serving as a prerequisite for achieving proactive human-robot collaborative assembly. By leveraging intelligent action recognition and transfer-learning models, ongoing human actions can be predicted and rapidly converted into industrial assembly operations. A dynamic decision-making mechanism allows mobile robots to assist operators in a proactive manner. Experimental results demonstrate that the proposed approach outperforms other state-of-the-art methods in efficient action prediction.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

添加到收藏夹

Article Engineering, Manufacturing

Dynamic Bayesian network-based disassembly sequencing optimization for electric vehicle battery

Jinhua Xiao et al.

Summary: This paper proposes a dynamic disassembly Bayesian network approach to address the challenges of uncertainty in the EV battery disassembly process and optimal sequence selection.

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2022)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Robot learning towards smart robotic manufacturing: A review

Zhihao Liu et al.

Summary: This article reviews the background of smart robotic manufacturing and various definitions and categories of robot learning. The focus is on leading technologies and applications of robot learning, as well as open problems and future research directions.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)

添加到收藏夹

Article Engineering, Manufacturing

Sensorless haptic control for human-robot collaborative assembly

Sichao Liu et al.

Summary: This research introduces an approach to haptically controlling an industrial robot without external sensors for human-robot collaborative assembly. By utilizing dynamic models and adaptive admittance control with torque-based commands, accurate positioning and smooth movement are achieved.

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2021)

添加到收藏夹

Article Materials Science, Multidisciplinary

Task Planner for Robotic Disassembly of Electric Vehicle Battery Pack

Martin Choux et al.

Summary: This study aims to develop an autonomous task planner for dismantling EV Lithium-Ion Battery pack to a module level using a computer vision system, contributing to automated EV battery robotic dismantling and sustainable transition to an electric economy. The proposed method shows low measurement errors and efficient execution, successfully unifying computer vision, robotics, and battery disassembly.

METALS (2021)

添加到收藏夹

Article Engineering, Industrial

Function block-based human-robot collaborative assembly driven by brainwaves

Lihui Wang et al.

Summary: This study explores human-robot collaborative assembly controlled by brainwaves, where brainwaves measured by EEG sensors are converted to time-frequency images using wavelet transform and classified by a convolutional neural network to trigger a network of function blocks for assembly actions. The effectiveness of the system is experimentally validated through an engine-assembly case study.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2021)

添加到收藏夹

Review Chemistry, Physical

On the sustainability of lithium ion battery industry-A review and perspective

Yue Yang et al.

Summary: This paper examines technologies and research efforts in battery recycling from the perspective of economic viability and life cycle inventory. It highlights the challenges facing battery recycling and the role of battery design and circular economy in the sustainable development of battery industry.

ENERGY STORAGE MATERIALS (2021)

添加到收藏夹

Article Automation & Control Systems

Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning

Zhihao Liu et al.

Summary: Human-robot collaboration is a multidisciplinary research topic aiming to enhance robots' intelligence to better suit human needs, while also addressing uncertainties introduced by human partners. For industrial tasks, dynamics and stochasticity need to be further considered. This study proposes a new solution based on reinforcement learning, treating both the robot and human as agents in a deep reinforcement learning environment.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2021)

添加到收藏夹

Article Engineering, Industrial

Towards proactive human-robot collaboration: A foreseeable cognitive manufacturing paradigm

Shufei Li et al.

Summary: The article introduces a new cognitive manufacturing paradigm, Proactive HRC, aiming to achieve high-level cognitive teamwork skills step by step, including collaboration cognition, spatio-temporal cooperation prediction, and self-organizing teamwork.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Review Engineering, Chemical

Disassembly 4.0: A Review on Using Robotics in Disassembly Tasks as a Way of Automation

Hendrik Poschmann et al.

CHEMIE INGENIEUR TECHNIK (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A hybrid metaheuristic algorithm for a profit-oriented and energy-efficient disassembly sequencing problem

Qi Lu et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing

Wenjun Xu et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Engineering, Environmental

Study on the process of harmless treatment of residual electrolyte in battery disassembly

Yanbin Zhu et al.

WASTE MANAGEMENT & RESEARCH (2020)

添加到收藏夹

Article Materials Science, Multidisciplinary

Disassembly of Li Ion Cells-Characterization and Safety Considerations of a Recycling Scheme

Jean Marshall et al.

METALS (2020)

添加到收藏夹

Review Engineering, Manufacturing

Disassembly sequence planning: Recent developments and future trends

Zude Zhou et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2019)

添加到收藏夹

Article Engineering, Industrial

Symbiotic human-robot collaborative assembly

L. Wang et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2019)

添加到收藏夹

Article Engineering, Manufacturing

Feasibility Study and Design of an Automatic System for Electronic Components Disassembly

Marco Marconi et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2019)

添加到收藏夹

Article Engineering, Manufacturing

A Charts-Based Approach to Estimate Disassembly Time: Hypothesis, Model and Validation

Yang Hu et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2019)

添加到收藏夹

Article Engineering, Manufacturing

A DEMATEL-Based Disassembly Line Balancing Heuristic

Mehmet Ali Ilgin

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2019)

添加到收藏夹

Review Engineering, Industrial

Gesture recognition for human-robot collaboration: A review

Hongyi Liu et al.

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS (2018)

添加到收藏夹

Article Engineering, Manufacturing

Partial/Parallel Disassembly Sequence Planning for Complex Products

Fei Tao et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2018)

添加到收藏夹

Article Automation & Control Systems

Generating disassembly tasks for selective disassembly using ontology-based disassembly knowledge representation

Hui Jiang et al.

ASSEMBLY AUTOMATION (2018)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Semi-automatic design for disassembly strategy planning: an augmented reality approach

Francesco Osti et al.

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 (2017)

添加到收藏夹

Article Engineering, Manufacturing

Simultaneous Determination of Disassembly Sequence and Disassembly-to-Order Decisions Using Simulation Optimization

Mehmet Ali Ilgin et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2016)

添加到收藏夹

Article Engineering, Mechanical

Disassembly sequence planning based on a genetic algorithm

Maroua Kheder et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Disassembly sequence planning using a Simplified Teaching-Learning-Based Optimization algorithm

Kai Xia et al.

ADVANCED ENGINEERING INFORMATICS (2014)

添加到收藏夹

Article Engineering, Industrial

Dealing with uncertainty in disassembly line design

M. Lounes Bentaha et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2014)

添加到收藏夹

Article Automation & Control Systems

A green assembly sequence planning model with a closed-loop assembly and disassembly sequence planning using a particle swarm optimization method

Yuan-Jye Tseng et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Real world disassembly modeling and sequencing problem: Optimization by Algorithm of Self-Guided Ants (ASGA)

Mukul Tripathi et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2009)

添加到收藏夹

Article Robotics

Human-robot collaboration: A survey

Andrea Bauer et al.

INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS (2008)

添加到收藏夹

Article Automation & Control Systems

Disassembly sequencing using genetic algorithm

Elif Kongar et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)

添加到收藏夹

Article Automation & Control Systems

Ant colony optimization for disassembly sequencing with multiple objectives

Seamus M. McGovern et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2006)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Intelligent selective disassembly using the ant colony algorithm

JF Wang et al.

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING (2003)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.