← Search

R. Omar Chavez-Garcia

6 accepted papers

2020

Learning to Predict Metal Deformations in Hot-Rolling Processes

RA-L 2020

Hot-rolling is a metal forming process that produces a workpiece with a desired target cross-section from an input workpiece through a sequence of plastic deformations; each deformation is generated by a stand composed of opposing rolls with a specific geometry. In current practice, the rolling sequ

Cited by 2SourceScholar
2020

Path Planning With Local Motion Estimations

RA-L 2020

We introduce a novel approach to long-range path planning that relies on a learned model to predict the outcome of local motions using possibly partial knowledge. The model is trained from a dataset of trajectories acquired in a self-supervised way. Sampling-based path planners use this component to

Cited by 46SourceScholar
2019

Learning Long-Range Perception Using Self-Supervision From Short-Range Sensors and Odometry

RA-L 2019

We introduce a general self-supervised approach to predict the future outputs of a short-range sensor (such as a proximity sensor) given the current outputs of a long-range sensor (such as a camera). We assume that the former is directly related to some piece of information to be perceived (such as

Cited by 29SourceScholar
2019

On the Impact of Uncertainty for Path Planning

ICRA 2019poster

We consider the problem of planning paths on graphs with some edges whose traversability is uncertain; for each uncertain edge, we are given a probability of being traversable (e.g., by a learned classifier). We categorize different interpretations of the problem that are meaningful for mobile robot…

Cited by 10SourceScholar