Dominic Maggio

Draper Laboratory, Decision Systems (United States)

Papers

Total Citations

124

H-Index

About

Dominic Maggio is a leading researcher in robot perception and autonomous navigation, with a focus on enabling machines to understand and localize within complex, open-world environments. His most influential work, *Loc-NeRF*, with 85 citations, pioneered a real-time vision-based localization system that fuses Monte Carlo methods with Neural Radiance Fields (NeRF), allowing robots to determine their position using only an RGB camera. This breakthrough moves beyond traditional GPS or LiDAR-dependent approaches, offering a robust solution for indoor and GPS-denied settings. Maggio further advanced the field with *Clio*, a highly cited framework (35 citations) that generates real-time, task-driven 3D scene graphs. By leveraging class-agnostic segmentation tools like SegmentAnything and open-set models like CLIP, *Clio* enables robots to build semantic maps that adapt to specific tasks, moving past the limitations of closed-set systems. His work on self-supervised object pose estimation, through a "correct-and-certify" ensemble approach, addresses the critical challenge of generalizing learned models to new domains without extensive labeled data. Maggio’s contributions are shaping a future where robots can perceive, navigate, and interact with the world with unprecedented flexibility and reliability.