Sarah Kitchen

Michigan Technological University

Papers

2

Total Citations

6

H-Index

2

About

Sarah Kitchen is a pioneering roboticist whose work bridges the gap between autonomous navigation and multi-agent systems. Her primary research focuses on topological mapping for robotic exploration and the coordination of robotic swarms for intelligence-gathering applications. Kitchen’s most notable contribution is the development of **Sphere-Graph**, a compact 3D topological map designed for efficient robotic navigation and segmentation in complex environments. This innovation addresses critical challenges in autonomous exploration by enabling rapid map generation and lightweight storage suitable for resource-constrained hardware—a breakthrough that has already garnered attention with 4 citations since its 2024 publication. Additionally, her work on **RF emitter localization with robotic swarms** (2020) explores how low-cost, self-organizing sensor networks can achieve wide-aperture sensing with redundancy and low probability of detection, laying groundwork for scalable, attritable intelligence systems. Though early in her career, Kitchen’s dual focus on compact mapping and swarm coordination positions her as a rising leader in field robotics, with potential to transform how autonomous systems navigate and collaborate in unstructured environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Sphere-Graph: A Compact 3D Topological Map for Robotic Navigation and Segmentation of Complex Environments
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Michigan Technological University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago