Margaret Huang

Intel (United States)

Papers

1

Total Citations

25

H-Index

1

About

Dr. Margaret Huang is a leading researcher at the intersection of robotics, edge computing, and industrial automation. Her work focuses on the critical challenge of enabling factory-scale mobile multi-robot systems, where robots with limited on-board computing and battery capacity must operate reliably in dynamic environments. Her most cited paper, "Towards Factory-Scale Edge Robotic Systems: Challenges and Research Directions" (2022, 25 citations), serves as a foundational roadmap for the field, identifying key bottlenecks in wireless communication, task offloading, and real-time coordination. This work has shaped how researchers and engineers approach the design of scalable, resilient robotic fleets for smart manufacturing. Dr. Huang’s contributions are particularly notable for bridging the gap between theoretical edge computing frameworks and practical industrial constraints, making her a sought-after voice in both academic and applied robotics communities. Her research has direct implications for the future of logistics, warehousing, and assembly-line automation, where efficient, collaborative robot teams are essential.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Towards Factory-Scale Edge Robotic Systems: Challenges and Research Directions
25 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Intel (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago