255 citations · 492 across the 24 of their papers we have counts for
6 papers · 1 filter
Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models
Genevieve Flaspohler, Nicholas Roy, Yogesh Girdhar
The gap between our ability to collect interesting data and our ability to analyze these data is growing at an unprecedented rate. Recent algorithmic attempts to fill this gap have…
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
Thomas Kollar, Stefanie Tellex, Matthew Walter +8
Many task domains require robots to interpret and act upon natural language commands which are given by people and which refer to the robot's physical surroundings. Such interpreta…
Near-optimal irrevocable sample selection for periodic data streams with applications to marine robotics
Genevieve Flaspohler, Nicholas Roy, Yogesh Girdhar
We consider the task of monitoring spatiotemporal phenomena in real-time by deploying limited sampling resources at locations of interest irrevocably and without knowledge of futur…
GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks
Gregory J. Stein, Nicholas Roy
We propose a novel approach for generating high-quality, synthetic data for domain-specific learning tasks, for which training data may not be readily available. We leverage recent…
Technical Report: Sensor-Based Reactive Symbolic Planning in Partially Known Environments
Vasileios Vasilopoulos, William Vega-Brown, Omur Arslan +2
This paper considers the problem of completing assemblies of passive objects in nonconvex environments, cluttered with convex obstacles of unknown position, shape and size that sat…
PROBE-GK: Predictive Robust Estimation using Generalized Kernels
Valentin Peretroukhin, William Vega-Brown, Nicholas Roy +1
Many algorithms in computer vision and robotics make strong assumptions about uncertainty, and rely on the validity of these assumptions to produce accurate and consistent state es…