Phoebe O. Toups Dugas
Papers
2
Total Citations
38
H-Index
2
About
Phoebe O. Toups Dugas pioneers the intersection of human-computer interaction and multi-agent robotics, with a focus on developing intuitive interfaces for human-drone collaboration. Her work on future wearable interfaces for human-drone teams, explored through a virtual drone search game (20 citations), demonstrates innovative approaches to making complex robotic systems accessible and natural for human operators. In her foundational work on multi-agent path finding (MAPF), she introduced ros-dmapf, a distributed solver that addresses the critical challenge of scaling path planning algorithms across spatially distributed systems (18 citations). This contribution is particularly significant as most MAPF research has concentrated on centralized approaches, leaving a gap in practical distributed solutions. Toups Dugas's research bridges the gap between theoretical robotics and real-world usability, tackling both the algorithmic challenges of multi-agent coordination and the human factors necessary for effective human-robot teams. Her work has implications for search and rescue operations, environmental monitoring, and collaborative drone systems, where both computational efficiency and human situational awareness are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2A distributed solver for multi-agent path finding problems18 citations · 2019