Jason Scatena

Lockheed Martin (United States)

Papers

1

Total Citations

2

H-Index

1

About

Jason Scatena is a roboticist whose research focuses on humanoid manipulation, with a particular emphasis on bridging the gap between full autonomy and teleoperation in complex, unstructured environments. His most-cited work, "Graduated Automation for Humanoid Manipulation" (2016), addresses a critical challenge in the field: the impracticality of purely autonomous or purely remote-controlled systems when faced with real-world uncertainties like localization drift and rapidly changing conditions. Scatena’s key contribution lies in proposing a graduated automation framework that dynamically shifts control between human and robot, enabling more robust and adaptive performance in remote, hazardous settings. While his citation count remains modest, his work is foundational for researchers tackling human-robot interaction and shared autonomy in manipulation tasks. Scatena’s research is particularly relevant for applications in disaster response, space exploration, and other domains where humanoid robots must operate reliably despite environmental unpredictability. His approach offers a pragmatic path forward for deploying humanoid systems in the wild.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Graduated automation for humanoid manipulation
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Lockheed Martin (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago