35 citations · 43 across the 3 of their papers we have counts for
5 papers
Visual Navigation Among Humans with Optimal Control as a Supervisor
Varun Tolani, Somil Bansal, Aleksandra Faust +1
Real world visual navigation requires robots to operate in unfamiliar, human-occupied dynamic environments. Navigation around humans is especially difficult because it requires ant…
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability
Anjian Li, Somil Bansal, Georgios Giovanis +3
In Bansal et al. (2019), a novel visual navigation framework that combines learning-based and model-based approaches has been proposed. Specifically, a Convolutional Neural Network…
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
Andrea Bajcsy, Somil Bansal, Eli Bronstein +2
Real-world autonomous vehicles often operate in a priori unknown environments. Since most of these systems are safety-critical, it is important to ensure they operate safely in the…
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Somil Bansal, Varun Tolani, Saurabh Gupta +2
Model-based control is a popular paradigm for robot navigation because it can leverage a known dynamics model to efficiently plan robust robot trajectories. However, it is challeng…
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta, Varun Tolani, James Davidson +3
We introduce a neural architecture for navigation in novel environments. Our proposed architecture learns to map from first-person views and plans a sequence of actions towards goa…