10 citations · 10 across the 4 of their papers we have counts for
5 papers
Rapid Co-design of Task-Specialized Whegged Robots for Ad-Hoc Needs
Varun Madabushi, Katie M. Popek, Craig Knuth +2
In this work, we investigate the use of co-design methods to iterate upon robot designs in the field, performing time sensitive, ad-hoc tasks. Our method optimizes the morphology a…
Complex Terrain Navigation via Model Error Prediction
Adam Polevoy, Craig Knuth, Katie M. Popek +1
Robot navigation traditionally relies on building an explicit map that is used to plan collision-free trajectories to a desired target. In deformable, complex terrain, using geomet…
High-Speed Robot Navigation using Predicted Occupancy Maps
Kapil D. Katyal, Adam Polevoy, Joseph Moore +2
Safe and high-speed navigation is a key enabling capability for real world deployment of robotic systems. A significant limitation of existing approaches is the computational bottl…
PICO: Primitive Imitation for COntrol
Corban G. Rivera, Katie M. Popek, Chace Ashcraft +3
In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO. The approach combines ideas from imitation learning, task dec…
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation
Kapil Katyal, Katie Popek, Chris Paxton +4
Fast, collision-free motion through unknown environments remains a challenging problem for robotic systems. In these situations, the robot's ability to reason about its future moti…