Marcus Abate
Papers
5
Total Citations
135
H-Index
4
About
Marcus Abate is a leading researcher in robot perception, whose work is redefining how autonomous systems understand and navigate complex, dynamic environments. His core contributions lie at the intersection of **Simultaneous Localization and Mapping (SLAM)**, **spatial perception**, and **neural scene representations**. Abate is best known for pioneering **Loc-NeRF** (85 citations), a groundbreaking approach that integrates Monte Carlo localization with Neural Radiance Fields (NeRF), enabling real-time, vision-based robot localization using only an RGB camera. This work has become a cornerstone for neural SLAM. He is also the architect of **Khronos**, a unified framework for spatio-temporal metric-semantic SLAM that elegantly handles both short-term and long-term environmental changes, and a key contributor to the **Kimera** project, which builds rich 3D dynamic scene graphs for holistic spatial understanding. His research, published at top venues like ICRA and RSS, is highly influential, with his most cited works collectively garnering over 135 citations. By bridging geometric accuracy with semantic and temporal reasoning, Abate is equipping robots with the robust, human-like perception needed for real-world autonomy.
Research Focus
Key Achievements
Top Papers
- 1Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields85 citations · 2023
- 2
- 3Kimera: From SLAM to spatial perception with 3D dynamic scene graphs12 citations · 2021
- 4Kimera2: Robust and Accurate Metric-Semantic SLAM in the Real World7 citations · 2024
- 5