Andrew J. Hill — accepted AI-conference papers

2019

Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation

Nathan D. Wallace, He Kong, Andrew J. Hill, Salah Sukkarieh

ICRA 2019poster

The control of field robots in varying and uncertain terrain conditions presents a challenge for autonomous navigation. Online estimation of the wheel-terrain slip characteristics is essential for generating the accurate control predictions necessary for tracking trajectories in off-road environment…

Cited by 22 Source ↗Scholar ↗

2018

Modelling Resource Contention in Multi-Robot Task Allocation Problems with Uncertain Timing

Andrew W. Palmer, Andrew J. Hill, Steven J. Scheding

ICRA 2018poster

This paper proposes an analytical framework for modelling resource contention in multi-robot systems, where the travel times and task durations are uncertain. It uses several approximation methods to quickly and accurately calculate the probability distributions describing the times at which the tas…

Cited by 24 Source ↗Scholar ↗