Papers

3

Total Citations

97

H-Index

3

About

Dr. Ling Ma is a leading researcher in construction automation and robotics, with a focus on integrating computer vision and multi-agent systems to solve critical challenges in the built environment. Her work centers on developing intelligent, autonomous solutions for construction tasks, from object recognition to data collection and layout projection. Dr. Ma’s most impactful contributions include an image-based system for automatic object recognition during crane lifting operations (41 citations), which enhances safety and efficiency on job sites. She also pioneered the Multi-Agent Robotic System (MARS) for UAV-UGV path planning in cluttered environments (39 citations), enabling autonomous sensory data collection that revolutionizes site monitoring and inspection. Additionally, her automated system for projecting interior construction layouts (17 citations) addresses the costly, error-prone manual layout process, offering a marker-less augmented reality approach that significantly reduces rework and material waste. With a growing citation record, Dr. Ma’s work is shaping the future of smart construction, making complex tasks safer, faster, and more precise. Her research is essential reading for anyone interested in robotics, computer vision, and the digital transformation of the construction industry.

Research Focus

Key Achievements

3
H-Index
3
Papers
97
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Image-based onsite object recognition for automatic crane lifting tasks
41 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tsinghua University, University College London

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago