6 citations · 6 across the 9 of their papers we have counts for
10 papers
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…
Identifiability Analysis of Noise Covariances for LTI Stochastic Systems with Unknown Inputs
He Kong, Salah Sukkarieh, Travis J. Arnold +3
Most existing works on optimal filtering of linear time-invariant (LTI) stochastic systems with arbitrary unknown inputs assume perfect knowledge of the covariances of the noises i…
The Noise Covariances of Linear Gaussian Systems with Unknown Inputs Are Not Uniquely Identifiable Using Autocovariance Least-squares
He Kong, Salah Sukkarieh, Travis J. Arnold +2
Existing works in optimal filtering for linear Gaussian systems with arbitrary unknown inputs assume perfect knowledge of the noise covariances in the filter design. This is imprac…
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…
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…
Metamorphic Moving Horizon Estimation
He Kong, Salah Sukkarieh
This paper considers a practical scenario where a classical estimation method might have already been implemented on a certain platform when one tries to apply more advanced techni…