Yiwei Wang

Beihang University

Papers

1

Total Citations

4

H-Index

1

About

Yiwei Wang is an emerging researcher specializing in **robotics, manufacturing systems, and reliability engineering**, with a focused interest in the intersection of dynamic system reliability and intelligent task scheduling. Wang's most notable work introduces an adaptive task scheduling framework informed by real-time reliability assessments within multirobot manufacturing environments — a contribution that addresses a critical challenge in modern automated production: how to maintain operational efficiency and system resilience when individual robotic units are subject to varying failure probabilities. By coupling reliability metrics directly with scheduling decisions, this approach enables manufacturing systems to proactively redistribute workloads, minimizing downtime and improving overall system robustness. Published in 2026 and already accumulating early citations, this work signals growing interest from the robotics and industrial engineering communities in reliability-aware autonomous systems. While Wang's citation profile is still developing — reflecting an early-career trajectory — the technical depth and practical relevance of this research positions them as a promising contributor to the fields of intelligent manufacturing and human-robot collaborative systems. Students and researchers working on resilient automation and smart factory design will find Wang's work particularly valuable.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic reliability informed adaptive task scheduling for multirobot manufacturing system
4 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beihang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago