Conor Marsh

Papers

1

Total Citations

8

H-Index

1

About

Conor Marsh is a researcher at the forefront of human-robot interaction and mixed reality, with a focus on enhancing safety and efficiency in remote operations. His work centers on integrating virtual and physical environments to enable intuitive, real-time control of robotic systems. In his highly cited 2019 paper, "A Mixed Reality Approach to Robotic Inspection of Remote Environments," Marsh introduced a novel framework where human operators and piloted robots co-exist within a spatially mapped virtual world, effectively eliminating physical hazards during inspections. This contribution has garnered 8 citations and laid critical groundwork for safer teleoperation in hazardous settings, such as nuclear decommissioning or offshore infrastructure maintenance. Marsh’s research bridges the gap between immersive visualization and robotic autonomy, offering practical solutions for industries where direct human presence is dangerous or impossible. His work stands out for its pragmatic application of mixed reality—not merely as a display tool, but as a shared operational space that transforms how humans and machines collaborate across distances.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Mixed Reality Approach to Robotic Inspection of Remote Environments
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago