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20162021
most citedMethods for Stochastic Collection and Replenishment (SCAR) optimisation for persistent autonomy

18 citations · 58 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.RO2018

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

Nathan Wallace, He Kong, Andrew Hill +1

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…

cs.RO2018

Multi-Vehicle Trajectory Optimisation On Road Networks

Philip Gun, Andrew Hill, Robin Vujanic

This paper addresses the problem of planning time-optimal trajectories for multiple cooperative agents along specified paths through a static road network. Vehicle interactions at…

cs.RO2016★ 3 cited

Stochastic Collection and Replenishment (SCAR) Optimisation for Persistent Autonomy

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

Robots have a finite supply of resources such as fuel, battery charge, and storage space. The aim of the Stochastic Collection and Replenishment (SCAR) scenario is to use dedicated…

cs.RO2016★ 7 cited

Stochastic Collection and Replenishment (SCAR): Objective Functions

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

This paper introduces two objective functions for computing the expected cost in the Stochastic Collection and Replenishment (SCAR) scenario. In the SCAR scenario, multiple user ag…

cs.RO2016★ 18 cited

Methods for Stochastic Collection and Replenishment (SCAR) optimisation for persistent autonomy

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

Consideration of resources such as fuel, battery charge, and storage space, is a crucial requirement for the successful persistent operation of autonomous systems. The Stochastic C…