activity
20182026
most citedExperimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture

6 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

POMDPs for Autonomous Science Exploration

Daniel Guirguis, Nathan Wallace, Hanna Kurniawati +1

Autonomous exploration missions require decision-making under sensor uncertainty and computational constraints, yet integrating scientific representations into POMDP planning has r…

math.OC2026

Learning Safety-Guaranteed, Non-Greedy Control Barrier Functions Using Reinforcement Learning

Minduli Wijayatunga, Nathan Wallace, Salah Sukkarieh +1

Spacecraft rendezvous and proximity operations (RPO) pose safety risks to high-value assets, so formal safety guarantees are critical. Yet conservative safety controllers can reduc…

cs.RO2024

Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning

Nicholas Harrison, Nathan Wallace, Salah Sukkarieh

The efficient collection of samples is an important factor in outdoor information gathering applications on account of high sampling costs such as time, energy, and potential destr…

cs.RO2021★ 6 cited

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…

cs.RO2021

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…

cs.RO2020

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…

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…