Papers

1

Total Citations

25

H-Index

1

About

Dr. William Grayson is a leading researcher in multi-robot systems and human-robot teaming, with a focus on developing frameworks for adjustable autonomy in tactical, heterogeneous teams. His most cited work, the "Multiagent Adjustable Autonomy Framework (MAAF)" (2008, 25 citations), addresses the critical challenge of dynamically balancing control between humans and autonomous agents during complex, coordinated maneuvers. This foundational research, conducted under an SBIR Phase I project, explores how to fully exploit the unique capabilities of mixed human-robot teams by enabling flexible, context-aware shifts in autonomy. Dr. Grayson’s contributions are pivotal for advancing collaborative autonomy in defense and disaster response, where seamless human-robot cooperation is essential. His work has influenced subsequent studies on adaptive teaming and multi-agent coordination, establishing him as a key figure in the field of adjustable autonomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Multiagent Adjustable Autonomy Framework (MAAF) for multi-robot, multi-human teams
25 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Science Applications International Corporation (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago