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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 2Source ↗Scholar ↗
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 46Source ↗Scholar ↗
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 29Source ↗Scholar ↗
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 10Source ↗Scholar ↗