Nicholas R.J. Lawrance — accepted AI-conference papers

2021

Online Informative Path Planning for Active Information Gathering of a 3D Surface

Hai Zhu, Jen Jen Chung, Nicholas R.J. Lawrance, Roland Siegwart, Javier Alonso-Mora

ICRA 2021poster

This paper presents an online informative path planning approach for active information gathering on three-dimensional surfaces using aerial robots. Most existing works on surface inspection focus on planning a path offline that can provide full coverage of the surface, which inherently assumes the…

Cited by 58 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 ↗