Madeline Karp
Papers
1
Total Citations
9
H-Index
1
About
Madeline Karp is a leading researcher in robotics and autonomous systems, with a primary focus on Simultaneous Localization and Mapping (SLAM) and multi-modal perception. Her work addresses the critical challenge of robustness in real-world SLAM deployment, particularly in complex indoor environments. Her most-cited paper, "Challenges of Indoor SLAM: A Multi-Modal Multi-Floor Dataset for SLAM Evaluation" (2023, 9 citations), provides a comprehensive benchmark that exposes the limitations of state-of-the-art algorithms in multi-floor and multi-modal scenarios. This dataset has become a valuable resource for the community, enabling systematic evaluation and driving progress toward more reliable autonomous navigation. Karp’s contributions are notable for bridging the gap between theoretical SLAM advancements and practical, real-world applications. Her research emphasizes the importance of multi-modal sensor fusion and environmental diversity, pushing the boundaries of what autonomous systems can achieve in challenging settings. With a growing citation impact, Madeline Karp is establishing herself as a key voice in the next generation of SLAM research, inspiring both students and fellow researchers to tackle the enduring challenges of robust, real-world autonomy.
Research Focus
Key Achievements
Top Papers
- 1