Component-aware topology-guided task release and collision-free bimanual scheduling for cooperative disassembly of retired EV battery packs

Retired EV battery-pack disassembly requires robots to handle fastening dependencies, occlusion, tool compatibility, and inter-arm collisions in a compact workspace. This paper presents a component-aware framework that separates topology-guided task release, frontier-level operation selection, and fixed-path bimanual temporal coordination. A component-removal task is released only after its fasteners and blockers have been cleared and a tool-compatible single-arm path is feasible. Released operations are assigned to the screwdriver- or gripper-side arm, and the proposed priority rule selects the next operation from the current arm-specific executable frontier. For each selected path pair, an A ∗ search in path-index space coordinates left-arm, right-arm, or simultaneous advancement along fixed pre-generated single-arm paths, with node collision checks and time-synchronized sampled transition validation. The method was evaluated on a fixed electric-bus battery pack after manual safety preprocessing and top-cover removal. Across five complete robotic-stage trials per mode, S3 achieved a mean completion time of 1348 ± 53 s compared with 1955 ± 55 s for S0, corresponding to a 31.05% reduction and a reconstructed scheduling-level motion-overlap ratio of 44.51%. In a separate controlled 24-operation half-pack simulation, Proposed Priority reduced the makespan from 329.048 s with SPT to 317.273 s (3.58%) and increased the motion-overlap ratio from 4.48% to 8.33%, while the executable-frontier construction, arm assignment, pre-generated paths, A ∗ coordinator, collision model, and motion settings were held fixed. The results distinguish the effects of system-level task availability, frontier-level task selection, and fixed-path temporal coordination. Robustness to execution uncertainty and continuous collision freedom between finite collision-checking samples remain outside the demonstrated scope.

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Publication Details

Journal
Robotics and Computer-Integrated Manufacturing
Published
2026-09-30
DOI
https://doi.org/10.1016/j.rcim.2026.103439
Primary Topic
Robot Manipulation and Learning
Type
article
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Component-aware topology-guided task release and collision-free bimanual scheduling for cooperative disassembly of retired EV battery packs

Junyang Wang, Wu Yan, Shaohua Kong, Jiangming Zhang et al.
Robotics and Computer-Integrated Manufacturing
Robot Manipulation and Learning
article

Component-aware topology-guided task release and collision-free bimanual scheduling for cooperative disassembly of retired EV battery packs

Junyang Wang, Wu Yan, Shaohua Kong, Jiangming Zhang, Zhaoyang Liao, Zhongjun He, Xubin Lin, Li Jiang, Xuefeng Zhou, Rucheng Xiang, Zhihao Xu, Zhijian Fu, Hongmin Wu
article en

Abstract

Retired EV battery-pack disassembly requires robots to handle fastening dependencies, occlusion, tool compatibility, and inter-arm collisions in a compact workspace. This paper presents a component-aware framework that separates topology-guided task release, frontier-level operation selection, and fixed-path bimanual temporal coordination. A component-removal task is released only after its fasteners and blockers have been cleared and a tool-compatible single-arm path is feasible. Released operations are assigned to the screwdriver- or gripper-side arm, and the proposed priority rule selects the next operation from the current arm-specific executable frontier. For each selected path pair, an A ∗ search in path-index space coordinates left-arm, right-arm, or simultaneous advancement along fixed pre-generated single-arm paths, with node collision checks and time-synchronized sampled transition validation. The method was evaluated on a fixed electric-bus battery pack after manual safety preprocessing and top-cover removal. Across five complete robotic-stage trials per mode, S3 achieved a mean completion time of 1348 ± 53 s compared with 1955 ± 55 s for S0, corresponding to a 31.05% reduction and a reconstructed scheduling-level motion-overlap ratio of 44.51%. In a separate controlled 24-operation half-pack simulation, Proposed Priority reduced the makespan from 329.048 s with SPT to 317.273 s (3.58%) and increased the motion-overlap ratio from 4.48% to 8.33%, while the executable-frontier construction, arm assignment, pre-generated paths, A ∗ coordinator, collision model, and motion settings were held fixed. The results distinguish the effects of system-level task availability, frontier-level task selection, and fixed-path temporal coordination. Robustness to execution uncertainty and continuous collision freedom between finite collision-checking samples remain outside the demonstrated scope.

Robotics and Computer-Integrated ManufacturingVol. 104
Guangdong Academy of Sciences (CN), Guangdong Institute of Intelligent Manufacturing (CN), Wuyi University (CN), University of Hong Kong (HK), Wuyi University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Robot Manipulation and Learning
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