Research graph
References from A human-AI agents collaborative disassembly depth reasoning method for end-of-life automotive batteries under uncertain operating conditions. Local targets link to admitted publications; unresolved targets remain external evidence.
The environmental impact and eco-efficiency analysis of retired power battery recycling in China
10.1016/j.est.2025.116483 · 2025 · External reference
Second-life applications for retired electric vehicle batteries: challenges, opportunities, and future directions
10.1016/j.est.2025.120190 · 2026 · External reference
A novel sorting method and second-life utilization strategy for retired lithium-ion batteries
10.1016/j.est.2025.120129 · 2026 · External reference
Pathway decisions for reuse and recycling of retired lithium-ion batteries considering economic and environmental functions
10.1038/s41467-024-52030-0 · 2024 · External reference
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures
10.1016/j.jmsy.2025.02.009 · 2025 · External reference
Recycling mode selection for retired batteries incorporating blockchain technology in a dynamic framework
10.1016/j.eneco.2025.108768 · 2025 · External reference
10.1016/j.aei.2024.102939
10.1016/j.aei.2024.102939 · External reference
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery
10.1016/j.rcim.2024.102775 · 2024 · External reference
The end-of-life power battery recycling & remanufacturing center location-adjustment problem considering battery capacity and quantity uncertainty
10.1016/j.jenvman.2024.120774 · 2024 · External reference
Human-robot collaboration disassembly planning for end-of-life power batteries
10.1016/j.jmsy.2023.06.014 · 2023 · External reference
An operations memory-enhanced multi-agent system for human-centric manufacturing process monitoring and decision support
10.1016/j.cirp.2026.04.080 · 2026 · External reference
Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
10.30657/pea.2026.32.5 · 2026 · External reference
Design of Stress Relieving Conversational Agents with Different Genders and Stress Recognition Levels
10.1080/10447318.2026.2713298 · 2026 · External reference
Knowledge-driven safety risk assessment for dismantling decommissioned power batteries
2026 · External reference
Multi-manned disassembly line balancing problems for retired power batteries based on hyper-heuristic reinforcement
10.1016/j.cie.2024.110400 · 2024 · External reference
Human-robot collaborative disassembly task planning for retired power battery based on Stackelberg game and multi-agent deep reinforcement learning
10.1016/j.jmsy.2025.07.024 · 2025 · External reference
A bi-objective discrete flower pollination algorithm for planning the collaborative disassembly of retired power batteries by humans and robots
10.1016/j.asoc.2025.113213 · 2025 · External reference
10.1016/j.rcim.2026.103280
10.1016/j.rcim.2026.103280 · External reference
Vision-language model-based human-robot collaboration for smart manufacturing: A state-of-the-art survey
10.1007/s42524-025-4136-9 · 2025 · External reference
The transformative power of generative AI for supply chain management: Theoretical framework and agenda
10.1007/s42524-025-4240-x · 2025 · External reference
Analysis of causes of welding defects in bridge weathering steel based on large language models
2025 · External reference
Large language model-enabled multi-agent self-organised approach for personalised rehabilitation assistive devices design
10.1080/00207543.2025.2509155 · 2026 · External reference
Recommending engineering knowledge with context-aware agentic AI: a case study in on-site wind turbines assembly
2026 · External reference
Leveraging large language models for Human-Machine collaborative troubleshooting of complex industrial equipment faults
10.1016/j.aei.2025.103235 · 2025 · External reference
3D vision-based anomaly detection in manufacturing: A survey
10.1007/s42524-025-4189-9 · 2025 · External reference
Center-Aware Instance Segmentation for Close Objects in Industrial 3-D Point Cloud Scenes
10.1109/tii.2023.3296892 · 2024 · External reference
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP, in
2023 · External reference
DSDP: real-time asymmetric dual-stream instance segmentation embedding depth-predictive architecture for enhanced scene understanding
10.1109/tmm.2025.3613161 · 2025 · External reference
Deep scene understanding with extended text description for human object interaction detection
10.1016/j.eswa.2024.125297 · 2025 · External reference
Enhancing Scene Understanding for Vision-and-Language Navigation by Knowledge Awareness
10.1109/lra.2024.3483042 · 2024 · External reference
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach
10.1016/j.jmsy.2025.02.015 · 2025 · External reference
3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
10.1109/tmm.2025.3557620 · 2025 · External reference
Pixel-level semantic parsing in complex industrial scenarios using large vision-language models
10.1016/j.inffus.2024.102794 · 2025 · External reference
Language-Assisted 3D Scene Understanding
10.1109/tmm.2025.3535305 · 2025 · External reference
Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm
2021 · External reference
Optimal disassembly sequence generation and disposal of parts using stability graph cut-set method for End of Life product
10.1007/s12046-020-01525-9 · 2021 · External reference
10.1007/s12046-023-02160-w
10.1007/s12046-023-02160-w · External reference
A multi-layered disassembly sequence planning method to support decision making in de-manufacturing
10.1007/s12046-021-01622-3 · 2021 · External reference
Disassembly Sequence Planning for Safe Disposal of End-of-Life Waste Electric and Electronic Equipment
10.1007/s40009-020-00994-0 · 2021 · External reference
BiHAND: A Bimanual Human-like Robotic System with Adaptive Magnetic-Vibration End-Effectors for Non-Destructive Disassembly and Recycling of Retired EV Battery Packs
10.1016/j.jmsy.2026.04.033 · 2026 · External reference
AR/VR assisted integrated framework of autonomous disassembly system for industrial products
2024 · External reference
An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing
10.1016/j.rcim.2024.102766 · 2024 · External reference
A rule-driven method for disassembly sequence real-time planning of intelligent mixed-flow disassembly line
10.1016/j.cie.2024.110666 · 2024 · External reference
Process failure mode-product failure mechanism-effect analysis ((PFM)2EA): A novel risk assessment methodology for automated battery disassembly - Integrating process and product safety in repurposing
10.1016/j.jmsy.2025.06.006 · 2025 · External reference
An Improved Method for Disassembly Depth Optimization of End-of-Life Smartphones Based on PSO-BP Neural Network Predictive Model
10.3390/su17209032 · 2025 · External reference
Multi-objective collaborative optimization of green disassembly planning and recovery option decision considering the learning effect
10.1016/j.jmsy.2025.03.011 · 2025 · External reference
Multiresource-constrained selective disassembly with maximal profit and minimal energy consumption
10.1109/tase.2020.2992220 · 2021 · External reference
Parallel disassembly sequence planning for used products considering part quality status
10.1016/j.cie.2025.111602 · 2026 · External reference
Selective disassembly sequence planning under uncertainty using trapezoidal fuzzy numbers: A novel hybrid metaheuristic algorithm
10.1016/j.engappai.2023.107459 · 2024 · External reference
A sequential disassembly planning approach based on knowledge graph and graph isomorphism network for supporting power battery remanufacturing
10.1016/j.jclepro.2025.145558 · 2025 · External reference
Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network
10.1016/j.jmsy.2025.09.011 · 2025 · External reference
Selective disassembly planning considering process capability and component quality utilizing reinforcement learning
10.1016/j.procir.2023.09.221 · 2024 · External reference
An efficient m-step lookahead rollout algorithm for profit-oriented selective disassembly sequence planning with operation stochastic failure
10.1016/j.engappai.2025.110173 · 2025 · External reference
RAISE: A Robot-Assisted SelectIve Disassembly and Sorting System for End-of-Life Phones
10.1016/j.resconrec.2025.108609 · 2026 · External reference
Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly
10.1007/s10845-024-02527-8 · 2025 · External reference
10.1016/j.eswa.2025.130877
10.1016/j.eswa.2025.130877 · External reference
Optimal layout planning for human robot collaborative assembly systems and visualization through immersive technologies
10.1016/j.eswa.2023.122465 · 2024 · External reference
Human-robot collaborative task planning for assembly system productivity enhancement
2024 · External reference
Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network
10.1016/j.swevo.2025.102076 · 2025 · External reference
Real-time dynamic integrated process planning and scheduling with reconfigurable manufacturing cells via multi-agent reinforcement learning
10.1016/j.jmsy.2026.01.004 · 2026 · External reference
A renewable energy aware multi-agent reinforcement learning approach for the dynamic flexible job shop scheduling problem
10.1016/j.aei.2025.104113 · 2026 · External reference
Cooperative Partial Task Offloading and Resource Allocation for IIoT Based on Decentralized Multiagent Deep Reinforcement Learning
10.1109/jiot.2023.3306803 · 2024 · External reference
The end-to-end real-time scheduling method for hybrid flow shop based on heterogeneous cooperative multi-agent deep reinforcement learning
10.1016/j.jmsy.2026.02.011 · 2026 · External reference
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning
10.1016/j.jmsy.2021.07.015 · 2021 · External reference
Dynamic Disassembly Planning of End-of-Life Products for Human-Robot Collaboration Enabled by Multi-Agent Deep Reinforcement Learning
10.1109/tase.2025.3557155 · 2025 · External reference
DPDC-ILKM: A multi-agent integrated large knowledge model for intelligent maintenance of industrial swarm robotics
2026 · External reference
LLM-MTMP: A large language model-based multi-agent task and motion planning framework for power inspection robots
2026 · External reference
A Multi-Agent and synergistic Knowledge Graph retrieval-augmented generation framework for intelligent maintenance
10.1016/j.jmsy.2026.02.016 · 2026 · External reference
Unresolved reference
External reference
Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
2026 · External reference
Towards robotic disassembly: A comparison of coarse-to-fine and multimodal fusion screw detection methods
10.1016/j.jmsy.2024.04.024 · 2024 · External reference
Research on recycling benefits of spent lithium batteries with parameter uncertain: Application to adjust incentive policy
10.1016/j.est.2023.109314 · 2023 · External reference
Partial disassembly sequence planning based on cost-benefit analysis
10.1016/j.jclepro.2016.08.095 · 2016 · External reference
Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
10.1109/tsmc.2018.2847448 · 2019 · External reference
Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm
10.1016/j.jclepro.2017.10.308 · 2018 · External reference
A Novel TOPSIS Method Based on Improved Grey Relational Analysis for Multiattribute Decision-Making Problem
2019 · External reference
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin
10.1007/s10845-023-02081-9 · 2024 · External reference
10.1016/j.jmsy.2021.03.009
10.1016/j.jmsy.2021.03.009 · External reference
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin
10.1007/s10845-023-02081-9 · ExternalCitation · doi-reference
Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly
10.1007/s10845-024-02527-8 · ExternalCitation · doi-reference
Optimal disassembly sequence generation and disposal of parts using stability graph cut-set method for End of Life product
10.1007/s12046-020-01525-9 · ExternalCitation · doi-reference
A multi-layered disassembly sequence planning method to support decision making in de-manufacturing
10.1007/s12046-021-01622-3 · ExternalCitation · doi-reference
10.1007/s12046-023-02160-w
10.1007/s12046-023-02160-w · ExternalCitation · doi-reference
Disassembly Sequence Planning for Safe Disposal of End-of-Life Waste Electric and Electronic Equipment
10.1007/s40009-020-00994-0 · ExternalCitation · doi-reference
Vision-language model-based human-robot collaboration for smart manufacturing: A state-of-the-art survey
10.1007/s42524-025-4136-9 · ExternalCitation · doi-reference
3D vision-based anomaly detection in manufacturing: A survey
10.1007/s42524-025-4189-9 · ExternalCitation · doi-reference
The transformative power of generative AI for supply chain management: Theoretical framework and agenda
10.1007/s42524-025-4240-x · ExternalCitation · doi-reference
10.1016/j.aei.2024.102939
10.1016/j.aei.2024.102939 · ExternalCitation · doi-reference
Leveraging large language models for Human-Machine collaborative troubleshooting of complex industrial equipment faults
10.1016/j.aei.2025.103235 · ExternalCitation · doi-reference
A renewable energy aware multi-agent reinforcement learning approach for the dynamic flexible job shop scheduling problem
10.1016/j.aei.2025.104113 · ExternalCitation · doi-reference
A bi-objective discrete flower pollination algorithm for planning the collaborative disassembly of retired power batteries by humans and robots
10.1016/j.asoc.2025.113213 · ExternalCitation · doi-reference
Multi-manned disassembly line balancing problems for retired power batteries based on hyper-heuristic reinforcement
10.1016/j.cie.2024.110400 · ExternalCitation · doi-reference
A rule-driven method for disassembly sequence real-time planning of intelligent mixed-flow disassembly line
10.1016/j.cie.2024.110666 · ExternalCitation · doi-reference
Parallel disassembly sequence planning for used products considering part quality status
10.1016/j.cie.2025.111602 · ExternalCitation · doi-reference
An operations memory-enhanced multi-agent system for human-centric manufacturing process monitoring and decision support
10.1016/j.cirp.2026.04.080 · ExternalCitation · doi-reference
Recycling mode selection for retired batteries incorporating blockchain technology in a dynamic framework
10.1016/j.eneco.2025.108768 · ExternalCitation · doi-reference
Selective disassembly sequence planning under uncertainty using trapezoidal fuzzy numbers: A novel hybrid metaheuristic algorithm
10.1016/j.engappai.2023.107459 · ExternalCitation · doi-reference
An efficient m-step lookahead rollout algorithm for profit-oriented selective disassembly sequence planning with operation stochastic failure
10.1016/j.engappai.2025.110173 · ExternalCitation · doi-reference
Research on recycling benefits of spent lithium batteries with parameter uncertain: Application to adjust incentive policy
10.1016/j.est.2023.109314 · ExternalCitation · doi-reference
The environmental impact and eco-efficiency analysis of retired power battery recycling in China
10.1016/j.est.2025.116483 · ExternalCitation · doi-reference
A novel sorting method and second-life utilization strategy for retired lithium-ion batteries
10.1016/j.est.2025.120129 · ExternalCitation · doi-reference
Second-life applications for retired electric vehicle batteries: challenges, opportunities, and future directions
10.1016/j.est.2025.120190 · ExternalCitation · doi-reference
Optimal layout planning for human robot collaborative assembly systems and visualization through immersive technologies
10.1016/j.eswa.2023.122465 · ExternalCitation · doi-reference
Deep scene understanding with extended text description for human object interaction detection
10.1016/j.eswa.2024.125297 · ExternalCitation · doi-reference
10.1016/j.eswa.2025.130877
10.1016/j.eswa.2025.130877 · ExternalCitation · doi-reference
Pixel-level semantic parsing in complex industrial scenarios using large vision-language models
10.1016/j.inffus.2024.102794 · ExternalCitation · doi-reference
Partial disassembly sequence planning based on cost-benefit analysis
10.1016/j.jclepro.2016.08.095 · ExternalCitation · doi-reference
Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm
10.1016/j.jclepro.2017.10.308 · ExternalCitation · doi-reference
A sequential disassembly planning approach based on knowledge graph and graph isomorphism network for supporting power battery remanufacturing
10.1016/j.jclepro.2025.145558 · ExternalCitation · doi-reference
The end-of-life power battery recycling & remanufacturing center location-adjustment problem considering battery capacity and quantity uncertainty
10.1016/j.jenvman.2024.120774 · ExternalCitation · doi-reference
10.1016/j.jmsy.2021.03.009
10.1016/j.jmsy.2021.03.009 · ExternalCitation · doi-reference
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning
10.1016/j.jmsy.2021.07.015 · ExternalCitation · doi-reference
Human-robot collaboration disassembly planning for end-of-life power batteries
10.1016/j.jmsy.2023.06.014 · ExternalCitation · doi-reference
Towards robotic disassembly: A comparison of coarse-to-fine and multimodal fusion screw detection methods
10.1016/j.jmsy.2024.04.024 · ExternalCitation · doi-reference
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures
10.1016/j.jmsy.2025.02.009 · ExternalCitation · doi-reference
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach
10.1016/j.jmsy.2025.02.015 · ExternalCitation · doi-reference
Multi-objective collaborative optimization of green disassembly planning and recovery option decision considering the learning effect
10.1016/j.jmsy.2025.03.011 · ExternalCitation · doi-reference
Process failure mode-product failure mechanism-effect analysis ((PFM)2EA): A novel risk assessment methodology for automated battery disassembly - Integrating process and product safety in repurposing
10.1016/j.jmsy.2025.06.006 · ExternalCitation · doi-reference
Human-robot collaborative disassembly task planning for retired power battery based on Stackelberg game and multi-agent deep reinforcement learning
10.1016/j.jmsy.2025.07.024 · ExternalCitation · doi-reference
Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network
10.1016/j.jmsy.2025.09.011 · ExternalCitation · doi-reference
Real-time dynamic integrated process planning and scheduling with reconfigurable manufacturing cells via multi-agent reinforcement learning
10.1016/j.jmsy.2026.01.004 · ExternalCitation · doi-reference
The end-to-end real-time scheduling method for hybrid flow shop based on heterogeneous cooperative multi-agent deep reinforcement learning
10.1016/j.jmsy.2026.02.011 · ExternalCitation · doi-reference
A Multi-Agent and synergistic Knowledge Graph retrieval-augmented generation framework for intelligent maintenance
10.1016/j.jmsy.2026.02.016 · ExternalCitation · doi-reference
BiHAND: A Bimanual Human-like Robotic System with Adaptive Magnetic-Vibration End-Effectors for Non-Destructive Disassembly and Recycling of Retired EV Battery Packs
10.1016/j.jmsy.2026.04.033 · ExternalCitation · doi-reference
Selective disassembly planning considering process capability and component quality utilizing reinforcement learning
10.1016/j.procir.2023.09.221 · ExternalCitation · doi-reference
An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing
10.1016/j.rcim.2024.102766 · ExternalCitation · doi-reference
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery
10.1016/j.rcim.2024.102775 · ExternalCitation · doi-reference
10.1016/j.rcim.2026.103280
10.1016/j.rcim.2026.103280 · ExternalCitation · doi-reference
RAISE: A Robot-Assisted SelectIve Disassembly and Sorting System for End-of-Life Phones
10.1016/j.resconrec.2025.108609 · ExternalCitation · doi-reference
Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network
10.1016/j.swevo.2025.102076 · ExternalCitation · doi-reference
Pathway decisions for reuse and recycling of retired lithium-ion batteries considering economic and environmental functions
10.1038/s41467-024-52030-0 · ExternalCitation · doi-reference
Large language model-enabled multi-agent self-organised approach for personalised rehabilitation assistive devices design
10.1080/00207543.2025.2509155 · ExternalCitation · doi-reference
Design of Stress Relieving Conversational Agents with Different Genders and Stress Recognition Levels
10.1080/10447318.2026.2713298 · ExternalCitation · doi-reference
Cooperative Partial Task Offloading and Resource Allocation for IIoT Based on Decentralized Multiagent Deep Reinforcement Learning
10.1109/jiot.2023.3306803 · ExternalCitation · doi-reference
Enhancing Scene Understanding for Vision-and-Language Navigation by Knowledge Awareness
10.1109/lra.2024.3483042 · ExternalCitation · doi-reference
Multiresource-constrained selective disassembly with maximal profit and minimal energy consumption
10.1109/tase.2020.2992220 · ExternalCitation · doi-reference
Dynamic Disassembly Planning of End-of-Life Products for Human-Robot Collaboration Enabled by Multi-Agent Deep Reinforcement Learning
10.1109/tase.2025.3557155 · ExternalCitation · doi-reference
Center-Aware Instance Segmentation for Close Objects in Industrial 3-D Point Cloud Scenes
10.1109/tii.2023.3296892 · ExternalCitation · doi-reference
Language-Assisted 3D Scene Understanding
10.1109/tmm.2025.3535305 · ExternalCitation · doi-reference
3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
10.1109/tmm.2025.3557620 · ExternalCitation · doi-reference
DSDP: real-time asymmetric dual-stream instance segmentation embedding depth-predictive architecture for enhanced scene understanding
10.1109/tmm.2025.3613161 · ExternalCitation · doi-reference
Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
10.1109/tsmc.2018.2847448 · ExternalCitation · doi-reference
Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
10.30657/pea.2026.32.5 · ExternalCitation · doi-reference
An Improved Method for Disassembly Depth Optimization of End-of-Life Smartphones Based on PSO-BP Neural Network Predictive Model
10.3390/su17209032 · ExternalCitation · doi-reference
