Conor McMahon

The University of Texas at Austin

Papers

1

Total Citations

7

H-Index

1

About

Dr. Conor McMahon is a robotics researcher specializing in human-robot interaction, teleoperation, and immersive visualization systems. His work focuses on bridging the gap between operators and remote robotic platforms by enhancing situational awareness through novel sensor integration and virtual reality interfaces. In his highly cited 2018 paper, "Improved Situational Awareness in ROS Using Panospheric Vision and Virtual Reality," McMahon introduced three open-source ROS packages—including rviz_textured_sphere—that enable real-time rendering of panoramic video directly within the RViz visualization environment. This contribution directly addresses a critical challenge in teleoperation: providing operators with intuitive, high-fidelity spatial awareness. By combining panospheric vision with VR, his work has laid foundational tools for safer and more effective remote robot control. With 7 citations, this paper has influenced subsequent research in telepresence and autonomous systems. McMahon’s achievements demonstrate a commitment to open-source robotics, making advanced perception tools accessible to the broader research community. His work continues to inspire new approaches to operator interface design in robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Improved Situational Awareness in ROS Using Panospheric Vision and Virtual Reality
7 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago