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Author

Qihao Liu

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Conference Aug 2026

A Material-Aware Scheduling Framework with Cooperative Search for Flexible Job Shop Scheduling with Material Kitting Constraints

Flexible job shop scheduling has been widely investigated in manufacturing systems. However, most existing studies implicitly assume that all required materials are available when operations become ready for processing. In practical production environments, materials are often delivered in dispersed batches, which may...

Zhao-Lin Chen, Xin-Yu Li, Qi-Hao Liu et al. · 0 citations
Conference Aug 2026

A Self-Evolving Framework for Automated Constraint Programming Model Construction in Multi-Robot Task Allocation and Scheduling

Multi-robot task allocation and scheduling (MRTAS) in aerospace manufacturing is highly challenging due to the coupled physical, logical, and resource constraints inherent in complex sequential operations. Traditional exact algorithms face scalability limitations, whereas manual constraint programming (CP) modeling req...

Zheng-Qi Shi, Xin-Yu Li, Qi-Hao Liu et al. · 0 citations
2026

CoRe: A Collaborative and Reflective Language Model Framework for Flexible Job Shop Scheduling

Effective production scheduling is pivotal to intelligent manufacturing, where Mixed-Integer Linear Programming (MILP)-based exact methods remain attractive for their guarantee of global optimality. Nevertheless, their deployment is constrained by the specialized expertise required for model formulation, particularly i...

Ming-Ming Peng, Jie Yang, Jin Huang et al. · 0 citations
Open access Aug 2026

ESIM: An Embodied System Integration Methodology for Real-Time Risk Mitigation in Autonomous Driving

This paper proposes an Embodied System Integration Methodology (ESIM), which translates cognitive models into fielded robotic systems, and demonstrates that by applying hardware acceleration and asynchronous pipelines, the ESIM framework consistently maintains end-to-end latencies within 10–20 ms across heterogeneous h...

Daiquan Xiao, Qi-Hao Liu, Xue-Cai Xu et al. · 0 citations
2026

Feedback-Driven Population Self-Evolution Framework for Dispatching Rule Generation in Dynamic Job Shop via Knowledge Distillation

The dynamic job shop scheduling problem (DJSSP) is critical for optimizing production efficiency in intelligent manufacturing systems under dynamic constraints. Traditional approaches, including heuristic dispatching rules (HDRs) and evolutionary hyper-heuristics, often struggle to generalize across dynamic and unseen...

Jin Huang, Zhengqi Shi, Qi-Hao Liu et al. · 0 citations

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