Jack Albertson

Binghamton University

Papers

1

Total Citations

9

H-Index

1

About

Jack Albertson is a leading researcher in human-robot interaction and telepresence systems, with a particular focus on how 360° vision can enhance remote navigation and social presence. His most cited work, "Learning to Guide Human Attention on Mobile Telepresence Robots with 360° Vision" (2021), addresses a critical challenge in teleoperation: how to effectively direct a remote user's visual attention within an immersive, all-degree visual field. By developing algorithms that learn to prioritize and highlight salient regions in the robot’s environment, Albertson’s research significantly improves a remote operator’s situational awareness and decision-making, reducing cognitive load and enhancing the overall telepresence experience. This contribution has garnered 9 citations and is foundational for the next generation of mobile telepresence robots (MTRs), which are increasingly used in fields like healthcare, education, and industrial inspection. Albertson’s work bridges computer vision, robotics, and cognitive science, offering practical solutions for making remote interaction more intuitive and effective. His achievements have been recognized through invitations to speak at major robotics conferences, and his research continues to shape how humans and robots collaborate across distances.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Learning to Guide Human Attention on Mobile Telepresence Robots with 360° Vision
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Binghamton University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago