Mike Dooley

iRobot (United States)

Papers

1

Total Citations

8

H-Index

1

About

Mike Dooley is a roboticist whose research focuses on autonomous navigation and systematic exploration of unknown environments. His most cited work, "Systematic floor coverage of unknown environments using rectangular regions and localization certainty" (2013, 8 citations), addresses a fundamental challenge in mobile robotics: ensuring complete coverage of accessible floor space without prior maps. Dooley’s key contribution is a two-stage approach that first decomposes unknown spaces into rectangular regions, then applies the classic boustrophedon (lawnmower) pattern to sweep each region efficiently. By integrating localization certainty into the planning process, his method balances coverage completeness with navigational reliability—a critical consideration for real-world deployment. While his citation count is modest, the work represents a thoughtful advance in coverage path planning, bridging theoretical completeness with practical constraints. Dooley’s research is particularly relevant for applications in cleaning robots, lawnmowers, and autonomous inspection systems operating in unstructured environments. His approach offers a principled framework that continues to inform subsequent work on systematic exploration and sensor-based coverage strategies in robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Systematic floor coverage of unknown environments using rectangular regions and localization certainty
8 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: iRobot (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago