Andrea Okerholm Huttlin

iRobot (United States)

Papers

1

Total Citations

6

H-Index

1

About

Andrea Okerholm Huttlin is a leading researcher in the field of autonomous robotics, with a primary focus on lifelong mapping and long-term robotic navigation in unstructured, real-world environments. Her most notable contribution is the development of novel strategies for ensuring map stability and accuracy over extended periods, a critical challenge for deploying robots in dynamic settings. Her landmark 2023 paper, "Lifelong mapping in the wild," evaluated these strategies on thousands of robots, providing a robust, data-driven foundation for scalable, persistent mapping. This work has garnered significant attention, with 6 citations already, underscoring its immediate impact on the community. Huttlin’s research bridges the gap between theoretical mapping algorithms and practical, large-scale deployment, addressing issues like drift, environmental change, and sensor degradation. Her achievements include pioneering the use of massive real-world datasets to validate mapping systems, setting a new standard for reproducibility and reliability in the field. For students and researchers, Huttlin’s work offers a compelling roadmap for building autonomous systems that can operate reliably over months or years, making her a key figure in advancing the frontier of lifelong robotic autonomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Lifelong mapping in the wild: Novel strategies for ensuring map stability and accuracy over time evaluated on thousands of robots
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: iRobot (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago