Deborah Stacey
Papers
2
Total Citations
96
H-Index
2
About
Deborah Stacey’s research lies at the intersection of robotics, autonomous navigation, and biologically inspired algorithms, with a particular focus on complete coverage path planning for cleaning robots. Her work addresses the fundamental challenge of enabling robots to systematically cover every point in a workspace while navigating around arbitrarily shaped obstacles and avoiding deadlocks. In her highly cited 2003 paper (59 citations), Stacey solved the “vicinity problem,” allowing cleaning robots to sweep effectively in corners and near complex obstacles in indoor environments. Building on this, her 2004 paper (37 citations) introduced a cooperative sweeping strategy for multiple cleaning robots operating in changing, unstructured environments. By leveraging biologically inspired neural networks, she enabled real-time path planning with robust deadlock avoidance—a critical achievement for practical multi-robot systems. Stacey’s contributions have directly influenced the design of autonomous cleaning robots, providing foundational algorithms that balance efficiency, adaptability, and collision-free navigation. Her work remains essential reading for researchers in mobile robotics, demonstrating how neural network models can solve real-world spatial challenges in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-time path planning with deadlock avoidance of multiple cleaning robots37 citations · 2004