Scholar
Javier Yu
Google Scholar ID: m3BtfZkAAAAJ
Stanford University
Citations & Impact
Citations
372
H-index
8
i10-index
8
Publications
14
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- VISTA: Open-Vocabulary, Task-Relevant Robot Exploration with Online Semantic Gaussian Splatting, submitted in 2025.
- HAMMER: Heterogeneous, Multi-Robot Semantic Gaussian Splatting, published in RA-L, 2025.
- SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum, published in RA-L, 2025.
- SAFER-Splat: Safety with Control Barrier Functions in Online Gaussian Splatting Maps, presented at ICRA, 2025.
- Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splat
Research Experience
- Interned with Skydio's deep learning team after graduation, where developed a pipeline for evaluating and deploying multi-modal foundation models on vehicles for semantic scene understanding tasks such as identifying adverse flight conditions.
Education
- Ph.D. in Aeronautics and Astronautics from Stanford University, advised by Professor Mac Schwager, funded by an NSF Graduate Research Fellowship.
Background
- Recently completed a Ph.D. in Aeronautics and Astronautics at Stanford University. Interested in practical solutions for problems at the intersection of learning and perception, focusing on how learned scene reconstructions can be used to safely and effectively improve robot performance.
Miscellany
- Contact information includes LinkedIn, Google Scholar, GitHub, and resume links; email address is scrambled.
