Ingrid Navarro

I received a Masters in Robotics from Carnegie Mellon University in 2022, and I'm currently pursuing my PhD in Robotics also at CMU.

I have experience working in computer vision, autonomous mobile robots and robot manipulators for medical robotics. Some of my research interests include robot navigation and multimodal learning. I'm currently a member of the Bot Intelligence Group (BIG) at CMU doing research in Multimodal Embodied AI and Social Robot Navigation.

As an undergrad, I participated twice at the Robotics Institute Summer Scholars (RISS) program, also at CMU, where I joined the Navigation Laboratory (Navlab) and did research on object detection systems (2017) and semantic segmentation of 3D LiDAR point clouds (2018).

Research Projects

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

Ingrid Navarro and Jean Oh

To Appear: In proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.

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Core Challenges in Embodied Vision-Language Planning

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

Journal of Artificial Intelligence Research (JAIR), 2022


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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

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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

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Faster RCNN-Based Wheelchair Detection System

Ingrid Navarro and Luis Ernesto Navarro-Serment

RISS Working Papers Journal, vol. 5, 2017

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