Ingrid Navarro

PhD Student in Robotics at CMU


Hello 👋!

I'm a PhD student in Robotics at Carnegie Mellon University advised by Jean Oh, head of the Bot Intelligence Group (BIG).

My research interests involve enabling autonomous navigation systems to seamlessly and safely interact with humans in shared spaces. I currently work on developing algorithms and methods that assess and enhance the robustness of motion prediction models and social navigation algorithms. My ongoing works are mostly focused on the domains of aviation and autonomous driving, but I have also explored other domains such as motion in human crowds and sports.

Updates!

Check out my work below!





Publications


Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting


Ingrid Navarro*, Pablo Ortega-Kral*, Jay Patrikar*, Haichuan Wang, Zelin Ye, Jong Hoon Park, Jean Oh‡ and Sebastian Scherer‡

* Equal contribution; ‡Equal Advising

AIAA Aviation Forum, 2024; Best Student Paper Award.

| |


Toggle Abstract

SafeShift: Safety-Informed Distribution Shift for Robust Trajectory Prediction in Autonomous Driving


Benjamin Stoler*, Ingrid Navarro*, Meghdeep Jana, Soonmin Hwang, Jonathan Francis, and Jean Oh

* Equal contribution

IEEE Intelligent Vehicles Symposium, 2024

| |


Toggle Abstract

SoRTS: Learned Tree Search for Long-Horizon Social Robot Navigation


Ingrid Navarro*, Jay Patrikar*, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian Scherer, and Jean Oh

* Equal contribution

IEEE Robotics and Automation Letters, 2024

| | |


Toggle Abstract

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace


Jay Patrikar, Joao P. A. Dantas, Sourish Ghosh, Parv Kapoor, Ian Higgins, Jasmine J. Aloor, Ingrid Navarro, Jimin Sun, Ben Stoler, Milad Hamidi, Rohan Baijal, Brady Moon, Jean Oh, Sebastian Scherer

Aerial Robotics Workshop at the International Conference on Robotics and Automation (ICRA), 2022


Toggle Abstract

Social-PatteRNN: Socially-Aware Trajectory Prediction Guided by Motion Patterns


Ingrid Navarro and Jean Oh

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022


Toggle Abstract

Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation


Gyan Tatiya, Jonathan Francis, Luca Bondi, Ingrid Navarro Eric Nyberg, Jivko Sinapov, and Jean Oh

Preprint in ArXiv, 2022


Toggle Abstract

Core Challenges in Embodied Vision-Language Planning


Jonathan Francis*, Nariaki Kitamura*, Felix Labelle*, Xiaopen Lu*, Ingrid Navarro* and Jean Oh

\* Equal contribution, ordered alphabetically.

Journal of Artificial Intelligence Research (JAIR), 2022


Toggle Abstract

Data Augmentation in Deep Learning-Based Obstacle Detection System for Autonomous Navigation on Aquatic Surfaces


Ingrid Navarro, Alberto Herrera, Itzel Hernández, and Leonardo Garrido

Mexican International Conference on Artificial Intelligence (MICAI), 2018


Toggle Abstract

Real-Time Semantic Segmentation of Sparse LiDAR Point Clouds using Lightweight CNN


Ingrid Navarro and Luis Ernesto Navarro-Serment

RISS Working Papers Journal, vol. 6, 2018

| |


Toggle Abstract

Faster RCNN-Based Wheelchair Detection System


Ingrid Navarro and Luis Ernesto Navarro-Serment

RISS Working Papers Journal, vol. 5, 2017


Toggle Abstract