99 citations · 258 across the 17 of their papers we have counts for
9 papers · 1 filter
Active Information Acquisition under Arbitrary Unknown Disturbances
Jennifer Wakulicz, He Kong, Salah Sukkarieh
Trajectory optimization of sensing robots to actively gather information of targets has received much attention in the past. It is well-known that under the assumption of linear Ga…
Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture
Stuart Eiffert, Nathan D. Wallace, He Kong +2
For mobile robots to be effectively applied to real world unstructured environments -- such as large scale farming -- they require the ability to generate adaptive plans that accou…
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture
Stuart Eiffert, Nathan D. Wallace, He Kong +2
Achieving long-term autonomy for mobile robots operating in real-world unstructured environments such as farms remains a significant challenge. This is made increasingly complex in…
Design and Evaluation of a Modular Robotic Plum Harvesting System Utilising Soft Components
Jasper Brown, Salah Sukkarieh
The human labour required for tree crop harvesting is a major cost component in fruit production and is increasing. To address this, many existing research works have sought to dem…
A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming
Stuart Eiffert, Nathan D. Wallace, He Kong +2
Achieving long term autonomy of robots operating in dynamic environments such as farms remains a significant challenge. Arguably, the most demanding factors to achieve this are the…
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
Stuart Eiffert, He Kong, Navid Pirmarzdashti +1
State of the art methods for robotic path planning in dynamic environments, such as crowds or traffic, rely on hand crafted motion models for agents. These models often do not refl…
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…
Multi-Modal Active Perception for Information Gathering in Science Missions
Akash Arora, P. Michael Furlong, Robert Fitch +2
Robotic science missions in remote environments, such as deep ocean and outer space, can involve studying phenomena that cannot directly be observed using on-board sensors but must…
An Approach to Autonomous Science by Modeling Geological Knowledge in a Bayesian Framework
Akash Arora, Robert Fitch, Salah Sukkarieh
Autonomous Science is a field of study which aims to extend the autonomy of exploration robots from low level functionality, such as on-board perception and obstacle avoidance, to…