70 citations · 269 across the 38 of their papers we have counts for
4 papers · 1 filter
Evaluating Methods for End-User Creation of Robot Task Plans
Chris Paxton, Felix Jonathan, Andrew Hundt +2
How can we enable users to create effective, perception-driven task plans for collaborative robots? We conducted a 35-person user study with the Behavior Tree-based CoSTAR system t…
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Andrew Hundt, Varun Jain, Chia-Hung Lin +2
A robot can now grasp an object more effectively than ever before, but once it has the object what happens next? We show that a mild relaxation of the task and workspace constraint…
Visual Robot Task Planning
Chris Paxton, Yotam Barnoy, Kapil Katyal +2
Prospection, the act of predicting the consequences of many possible futures, is intrinsic to human planning and action, and may even be at the root of consciousness. Surprisingly,…
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…