15 citations · 21 across the 7 of their papers we have counts for
6 papers · 1 filter
ViNT: A Foundation Model for Visual Navigation
Dhruv Shah, Ajay Sridhar, Nitish Dashora +4
General-purpose pre-trained models ("foundation models") have enabled practitioners to produce generalizable solutions for individual machine learning problems with datasets that a…
SACSoN: Scalable Autonomous Control for Social Navigation
Noriaki Hirose, Dhruv Shah, Ajay Sridhar +1
Machine learning provides a powerful tool for building socially compliant robotic systems that go beyond simple predictive models of human behavior. By observing and understanding…
ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation
Noriaki Hirose, Dhruv Shah, Ajay Sridhar +1
Machine learning techniques rely on large and diverse datasets for generalization. Computer vision, natural language processing, and other applications can often reuse public datas…
Spatio-Temporal Graph Localization Networks for Image-based Navigation
Takahiro Niwa, Shun Taguchi, Noriaki Hirose
Localization in topological maps is essential for image-based navigation using an RGB camera. Localization using only one camera can be challenging in medium-to-large-sized environ…
Deep Visual MPC-Policy Learning for Navigation
Noriaki Hirose, Fei Xia, Roberto Martin-Martin +2
Humans can routinely follow a trajectory defined by a list of images/landmarks. However, traditional robot navigation methods require accurate mapping of the environment, localizat…
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
Noriaki Hirose, Amir Sadeghian, Marynel Vázquez +2
We present semi-supervised deep learning approaches for traversability estimation from fisheye images. Our method, GONet, and the proposed extensions leverage Generative Adversaria…