Scholar
Daniel McGann
Google Scholar ID: XiCUcEwAAAAJ
Robotics Institute, Carnegie Mellon University
Citations & Impact
Citations
46
H-index
5
i10-index
1
Publications
11
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper “iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping” accepted to RSS 2024; Paper “Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM” accepted to ICRA 2024 and nominated for IEEE ICRA Best Paper Award on Multi-Robot Systems; Paper “Robust Incremental Smoothing and Mapping (riSAM)” accepted to ICRA 2023; Awarded the National Science Foundation’s Graduate Research Fellowship Program.
Research Experience
- Worked on NASA’s Mars Ice Challenge and started Northeastern’s Chapter of Students for the Exploration and Development of Space (NUSEDS) during undergrad. Interned at NASA JPL working on the Exobiology Extant Life Surveyor (EELS) project. Also interned at NASA Goddard researching methods for Lunar localization.
Education
- Ph.D. student in robotics at Carnegie Mellon University, advised by Professor Michael Kaess.
Background
- Research goal is to develop holistic robot perception that enables robots and multi-robot teams to understand their relation to an environment (State Estimation) as well as provide a deep contextual understanding of that environment (Mapping). Specifically, aims to build perception algorithms that scale to the needs of future applications and are actually deployable in the real-world.
Miscellany
- Personal interests and hobbies not mentioned.
Co-authors