Kira Barton

Orcid: 0000-0003-1047-8078

According to our database1, Kira Barton authored at least 118 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems.
IEEE Trans Autom. Sci. Eng., April, 2024

Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems.
Int. J. Prod. Res., March, 2024

Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control.
CoRR, 2024

2023
A digital twin framework for prognostics and health management.
Comput. Ind., September, 2023

Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing Systems.
IEEE Trans. Control. Syst. Technol., July, 2023

Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion [Opinion].
IEEE Robotics Autom. Mag., June, 2023

Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty.
IEEE Trans. Robotics, April, 2023

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework.
IEEE Trans Autom. Sci. Eng., 2023

Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions.
Sensors, 2023

Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling.
IEEE Control. Syst. Lett., 2023

ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty.
CoRR, 2023

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.
CoRR, 2023

Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion.
CoRR, 2023

Digital Twin Framework for Reconfiguration Management: Concept & Evaluation.
IEEE Access, 2023

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Enhancing the Efficacy of Lower-body Assistive Devices Through the Understanding of Human Movement in the Real World.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Low-Order Model of Dolphin Swimming Dynamics: Fluke Flexibility and Energetics.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Input Shaping for Control of a High-Resolution Electrohydrodynamic Jet Printing Process.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Dimensionless Analysis of the Transition from Continuous Jet Mode to Natural Pulsation in Electrohydrodynamic Jet Printing.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Estimating propulsive efficiency of bottlenose dolphins during steady-state swimming.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Using Economic Iterative Learning Control for Time-Optimal Control of a Redundant Manipulator.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

An Adaptive, State-Based Framework for Fault Prediction in Rotating Equipment.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

A Multi-Objective Mixed-Integer Programming Approach for Supply Chain Disruption Response with Lead-Time Awareness.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems.
IEEE Trans. Control. Syst. Technol., 2022

Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems.
IEEE Trans. Control. Syst. Technol., 2022

Model Predictive Control of Priced Timed Automata Encoded With First-Order Logic.
IEEE Trans. Control. Syst. Technol., 2022

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments.
IEEE Robotics Autom. Lett., 2022

Integrating optimal process and supplier selection in personalised product architecture design.
Int. J. Prod. Res., 2022

Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation.
CoRR, 2022

A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions.
CoRR, 2022

Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.
CoRR, 2022

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference.
IEEE Access, 2022

Open Process Automation- and Digital Twin-Based Performance Monitoring of a Process Manufacturing System.
IEEE Access, 2022

Toward an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems.
IEEE Access, 2022

An Integrated Framework for Dynamic Manufacturing Planning to Obtain New Line Configurations.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Digital Twin Framework for Reconfiguration Management.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions<sup>*</sup>.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Probabilistically Safe Mobile Manipulation in an Unmodeled Environment with Automated Feedback Tuning.
Proceedings of the American Control Conference, 2022

Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model.
Proceedings of the American Control Conference, 2022

2021
Layer-to-Layer Stability of Linear Layerwise Spatially Varying Systems: Applications in Fused Deposition Modeling.
IEEE Trans. Control. Syst. Technol., 2021

Trend-Based Repair Quality Assessment for Industrial Rotating Equipment.
IEEE Control. Syst. Lett., 2021

Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification.
CoRR, 2021

Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion.
CoRR, 2021

Receding Horizon Iterative Learning Control for Continuously Operated Systems.
CoRR, 2021

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference.
CoRR, 2021

A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems.
IEEE Access, 2021

Point-to-Point Repetitive Control with Optimal Tracking Time.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Library-Based Norm-Optimal Iterative Learning Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Hierarchical Structures for Economic Repetitive Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning-Based Repetitive Precision Motion Control with Mismatch Compensation.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Higher-Order Spatial Iterative Learning Control for Additive Manufacturing.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Manufacturing Line Design Configuration with Optimized Resource Groups.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data.
Proceedings of the 2021 American Control Conference, 2021

2020
Hybrid Modeling of Electrohydrodynamic Jet Printing.
IEEE Trans. Control. Syst. Technol., 2020

Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration.
IEEE Trans. Control. Syst. Technol., 2020

Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems.
IEEE Trans. Control. Syst. Technol., 2020

Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis.
IEEE Trans Autom. Sci. Eng., 2020

Medication Adherence and Liquid Level Tracking System for Healthcare Provider Feedback.
Sensors, 2020

Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data.
IEEE Robotics Autom. Lett., 2020

Off-road ground robot path energy cost prediction through probabilistic spatial mapping.
J. Field Robotics, 2020

A Requirements Driven Digital Twin Framework: Specification and Opportunities.
IEEE Access, 2020

Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives.
Proceedings of the 2020 American Control Conference, 2020

A Control-Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling.
Proceedings of the 2020 American Control Conference, 2020

2019
Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform.
IEEE Trans. Control. Syst. Technol., 2019

Chance constrained reachability in environments with spatially varying energy costs.
Robotics Auton. Syst., 2019

A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies.
IEEE Robotics Autom. Lett., 2019

Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems.
IEEE Robotics Autom. Lett., 2019

Towards Automated Safety Vetting of PLC Code in Real-World Plants.
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

ADD: Application and Data-Driven Controller Design.
Proceedings of the 2019 ACM Symposium on SDN Research, 2019

Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras.
Proceedings of the International Conference on Robotics and Automation, 2019

Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

A Closed-Form Representation of Piecewise Defined Systems and their Integration with Iterative Learning Control.
Proceedings of the 2019 American Control Conference, 2019

Dynamic Rerouting of Cyber-Physical Production Systems in Response to Disruptions Based on SDC Framework.
Proceedings of the 2019 American Control Conference, 2019

LPV models for jet-printed heightmap control.
Proceedings of the 2019 American Control Conference, 2019

An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion.
Proceedings of the 2019 American Control Conference, 2019

Control-Oriented Modeling and Layer-to-Layer Stability for Fused Deposition Modeling: A Kernel Basis Approach.
Proceedings of the 2019 American Control Conference, 2019

2018
Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things.
IEEE Trans Autom. Sci. Eng., 2018

Production as a Service: A Digital Manufacturing Framework for Optimizing Utilization.
IEEE Trans Autom. Sci. Eng., 2018

A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018

A Centralized Framework for System-Level Control and Management of Additive Manufacturing Fleets.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing.
Proceedings of the 2018 Annual American Control Conference, 2018

Ground Robot Terrain Mapping and Energy Prediction in Environments with 3-D Topography.
Proceedings of the 2018 Annual American Control Conference, 2018

Closing the Loop in IoT-enabled Manufacturing Systems: Challenges and Opportunities.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms.
IEEE Robotics Autom. Lett., 2017

Virtual fusion: a hybrid environment for improved commissioning in manufacturing systems.
Int. J. Prod. Res., 2017

Exponential stability of nonlinear differential repetitive processes with applications to iterative learning control.
Autom., 2017

A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Design and implementation of an intelligent product agent architecture in manufacturing systems.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Anomaly detection and productivity analysis for cyber-physical systems in manufacturing.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Production as a service: A centralized framework for small batch manufacturing.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

An energy-efficient method for multi-robot reconnaissance in an unknown environment.
Proceedings of the 2017 American Control Conference, 2017

2016
On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency.
IEEE Trans. Control. Syst. Technol., 2016

An application of spatial Iterative Learning Control to micro-additive manufacturing.
Proceedings of the 2016 American Control Conference, 2016

2015
On linearized stability of differential repetitive processes and iterative learning control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Real-time hybrid simulation of manufacturing systems for performance analysis and control.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

Learning control of linear iteration varying systems with varying references through robust invariant update laws.
Proceedings of the American Control Conference, 2015

2014
A new spatial Iterative Learning Control approach for improved micro-Additive Manufacturing.
Proceedings of the American Control Conference, 2014

2013
Pareto optimization-based Iterative Learning Control.
Proceedings of the American Control Conference, 2013

Systematic surveillance for UAVs: A feedforward iterative learning control approach.
Proceedings of the American Control Conference, 2013

ℒ1 adaptive control in an iterative learning control framework: Stability, robustness and design trade-offs.
Proceedings of the American Control Conference, 2013

2012
Flexible iterative learning control using a library based interpolation scheme.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A Norm Optimal Approach to Time-Varying ILC With Application to a Multi-Axis Robotic Testbed.
IEEE Trans. Control. Syst. Technol., 2011

Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation.
Int. J. Control, 2011

Robust Iterative Learning Control: L1 adaptive feedback control in an ILC framework.
Proceedings of the American Control Conference, 2011

2010
A numerical method for determining monotonicity and convergence rate in iterative learning control.
Int. J. Control, 2010

Control of high-resolution Electrohydrodynamic jet printing.
Proceedings of the American Control Conference, 2010

Precision coordination and motion control of multiple systems via iterative learning control.
Proceedings of the American Control Conference, 2010

2009
Norm optimal ILC with time-varying weighting matrices.
Proceedings of the American Control Conference, 2009

2008
A Cross-Coupled Iterative Learning Control Design for Precision Motion Control.
IEEE Trans. Control. Syst. Technol., 2008

Norm optimal Cross-Coupled Iterative Learning Control.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Design of a linear time-varying cross-coupled Iterative Learning Controller.
Proceedings of the American Control Conference, 2008

2007
Cross-Coupled ILC for Improved Precision Motion Control: Design and Implementation.
Proceedings of the American Control Conference, 2007


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