Jeffrey A. Caley

2 accepted papers

2020

Environment Prediction from Sparse Samples for Robotic Information Gathering

ICRA 2020poster

Robots often require a model of their environment to make informed decisions. In unknown environments, the ability to infer the value of a data field from a limited number of samples is essential to many robotics applications. In this work, we propose a neural network architecture to model these spa…

Cited by 11 Source ↗Scholar ↗

2016

Deep learning of structured environments for robot search

Jeffrey A. Caley, Nicholas R.J. Lawrance, Geoffrey A. Hollinger

IROS 2016poster

Robots often operate in built environments containing underlying structure that can be exploited to help predict future observations. In this work, we present a deep learning based approach to predict exit locations of buildings. This technique exploits the inherent structure of buildings to create…

Cited by 54 Source ↗Scholar ↗