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20182022
most citedExperimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture

6 citations · 6 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.RO2022

Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization

Yuanzheng He, Jiang Wang, Daobilige Su +5

Multiple microphone arrays have many applications in robot audition, including sound source localization, audio scene perception and analysis, etc. However, accurate calibration of…

cs.RO2021

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…

cs.RO20216 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.RO2020

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…