Kira Barton
Orcid: 0000-0003-1047-8078
According to our database1,
Kira Barton
authored at least 128 papers
between 2007 and 2024.
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Bibliography
2024
Stable Inversion of Piecewise Affine Systems With Application to Feedforward and Iterative Learning Control.
IEEE Trans. Autom. Control., October, 2024
PRF: A Program Reuse Framework for Automated Programming by Learning from Existing Robot Programs.
Robotics, August, 2024
A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes.
IEEE Trans Autom. Sci. Eng., July, 2024
Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response.
IEEE Robotics Autom. Lett., June, 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
ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty.
IEEE Trans. Robotics, 2024
Latent BKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty.
CoRR, 2024
CoRR, 2024
Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the American Control Conference, 2024
Voltage Waveform Optimization Through Data-Driven Modeling in Electrohydrodynamic Jet Printing.
Proceedings of the American Control Conference, 2024
Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue Management.
Proceedings of the Designing Interactive Systems Conference, 2024
2023
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
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
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
IEEE Access, 2023
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
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
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
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
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
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
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
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
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
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
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
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
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
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
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019
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
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
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
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
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
Proceedings of the American Control Conference, 2013
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
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
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
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
Proceedings of the American Control Conference, 2009
2008
IEEE Trans. Control. Syst. Technol., 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the American Control Conference, 2008
2007
Proceedings of the American Control Conference, 2007