Mark Moseley

Papers

2

Total Citations

17

H-Index

2

About

Mark Moseley is a robotics researcher whose work bridges autonomous systems, human-robot interaction, and educational technology. His most influential contribution, "Roomba Pac-Man: Teaching Autonomous Robotics through Embodied Gaming" (2007, 13 citations), pioneered a novel approach to robotics education by transforming the Roomba vacuum cleaner into a platform for teaching autonomous control through interactive, game-based learning. This work, developed as part of a course at Brown University, introduced students to diverse robot control strategies in an engaging, hands-on manner, making complex concepts accessible and memorable. Moseley further advanced the field with "Air-Ground Collaborative Surveillance with Human-Portable Hardware" (2018, 4 citations), which addressed the critical challenge of coordinating unmanned aerial and ground vehicles for surveillance and rescue missions. This research demonstrated how complementary vehicle capabilities could be leveraged for enhanced mission effectiveness, even with portable, human-operated hardware. Moseley’s work stands out for its practical, application-driven approach, combining educational innovation with real-world robotics challenges. His contributions have inspired new pedagogies in autonomous robotics and provided foundational insights into multi-vehicle coordination, impacting both classroom learning and field operations.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Roomba Pac-Man: Teaching Autonomous Robotics through Embodied Gaming
13 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago