Max Ferguson

Stanford University

Papers

2

Total Citations

24

H-Index

2

About

Dr. Max Ferguson is a leading researcher at the intersection of robotics, computer vision, and construction automation. His work focuses on enabling autonomous systems to perceive, navigate, and update digital models of dynamic, unstructured environments—specifically construction sites. Dr. Ferguson’s major contribution is the development of a 2D-3D object detection system that allows mobile robots to automatically identify and localize building elements, directly updating Building Information Models (BIM) in real time. This breakthrough, detailed in his most-cited paper (17 citations), promises to revolutionize facility management by replacing manual data collection with robotic precision. His subsequent research on worksite object characterization (7 citations) further refines how robots interpret complex spatial information, tackling the challenge of automatically collecting spatiotemporal data in chaotic industrial settings. By bridging the gap between physical construction sites and their digital twins, Dr. Ferguson’s work is foundational for the future of autonomous construction, offering a path toward safer, more efficient, and data-driven building practices.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots
17 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 6 days ago