Alex Stephens — accepted AI-conference papers

2024

Planning for Long-Term Monitoring Missions in Time-Varying Environments

Alex Stephens, Bruno Lacerda, Nick Hawes

IROS 2024poster

Recent years have seen autonomous robots deployed in long-term missions across an ever-increasing breadth of domains. We consider robots deployed over a sequence of finite-horizon missions in the same environment, with the objective of maximising the value from observations of some unknown spatiotem…

Cited by 0 Source ↗Scholar ↗

2020

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

Kamak Ebadi, Yun Chang, Matteo Palieri, Alex Stephens, Alex Hatteland, Eric Heiden +6

ICRA 2020poster

Simultaneous Localization and Mapping (SLAM) in large-scale, unknown, and complex subterranean environments is a challenging problem. Sensors must operate in off-nominal conditions; uneven and slippery terrains make wheel odometry inaccurate, while long corridors without salient features make extero…

Cited by 210 Source ↗Scholar ↗