Shan Luo
Papers
1
Total Citations
7
H-Index
1
About
Shan Luo is a researcher working at the intersection of robotics, augmented reality, and computational fabrication, with a particular focus on making robotic systems more accessible and intuitive for real-world applications. His most recognized work, "[AR]OBOT: the AR-Assisted Robotic Fabrication System for Parametric Architectural Structures" (2021), represents a significant contribution to the field of architectural robotics by bridging the gap between digital design intent and physical fabrication execution. The system leverages augmented reality to assist operators — particularly those without deep programming expertise — in guiding robotic arms through complex parametric construction tasks, democratizing access to advanced robotic fabrication in architectural contexts. This work addresses a critical pain point in the industry: the disconnect between computational design tools and on-site robotic implementation. With 7 citations since 2021, the research has begun attracting attention within the human-robot interaction and digital fabrication communities. Luo's contributions suggest a broader research vision centered on lowering the technical barriers to robotic adoption, making sophisticated automation tools more transparent, usable, and integrated into creative and construction workflows.
Research Focus
Key Achievements
Top Papers
- 1