Cross-Coupled ILC for Improved Precision Motion Control: Design and Implementation. - Kira L. Barton; Andrew G. Alleyne (ACC, 2007)

Design of a linear time-varying cross-coupled Iterative Learning Controller. - Kira L. Barton; Douglas A. Bristow; Andrew G. Alleyne (ACC, 2008)

Norm optimal Cross-Coupled Iterative Learning Control. - Kira Barton; Jeroen van de Wijdeven; Andrew G. Alleyne; Okko H. Bosgra; Maarten Steinbuch (CDC, 2008)

A Cross-Coupled Iterative Learning Control Design for Precision Motion Control. - Kira Barton; Andrew G. Alleyne (IEEE Trans. Control. Syst. Technol., 2008)

Norm optimal ILC with time-varying weighting matrices. - Kira Barton; Andrew G. Alleyne (ACC, 2009)

Precision coordination and motion control of multiple systems via iterative learning control. - Kira Barton; Andrew G. Alleyne (ACC, 2010)

Control of high-resolution Electrohydrodynamic jet printing. - Sandipan Mishra; Kira Barton; Andrew G. Alleyne (ACC, 2010)

A numerical method for determining monotonicity and convergence rate in iterative learning control. - Kira L. Barton; Douglas A. Bristow; Andrew G. Alleyne (Int. J. Control, 2010)

Robust Iterative Learning Control: L1 adaptive feedback control in an ILC framework. - Kira Barton; Sandipan Mishra; Enric Xargay (ACC, 2011)

Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation. - Kira L. Barton; David J. Hoelzle; Andrew G. Alleyne; Amy J. Wagoner Johnson (Int. J. Control, 2011)

A Norm Optimal Approach to Time-Varying ILC With Application to a Multi-Axis Robotic Testbed. - Kira Barton; Andrew G. Alleyne (IEEE Trans. Control. Syst. Technol., 2011)

Flexible iterative learning control using a library based interpolation scheme. - David J. Hoelzle; Kira Barton (CDC, 2012)

ℒ1 adaptive control in an iterative learning control framework: Stability, robustness and design trade-offs. - Berk Altin; Kira Barton (ACC, 2013)

Systematic surveillance for UAVs: A feedforward iterative learning control approach. - Kira Barton; Derek B. Kingston (ACC, 2013)

Pareto optimization-based Iterative Learning Control. - Ingyu Lim; Kira L. Barton (ACC, 2013)

A new spatial Iterative Learning Control approach for improved micro-Additive Manufacturing. - David J. Hoelzle; Kira L. Barton (ACC, 2014)

Learning control of linear iteration varying systems with varying references through robust invariant update laws. - Berk Altin; Kira Barton (ACC, 2015)

Real-time hybrid simulation of manufacturing systems for performance analysis and control. - Miguel Saez; Francisco P. Maturana; Kira Barton; Dawn M. Tilbury (CASE, 2015)

On linearized stability of differential repetitive processes and iterative learning control. - Berk Altin; Kira Barton (CDC, 2015)

An application of spatial Iterative Learning Control to micro-additive manufacturing. - Zhi Wang; Christopher Pannier; Lauro V. Ojeda; Kira Barton; David J. Hoelzle (ACC, 2016)

On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency. - David J. Hoelzle; Kira L. Barton (IEEE Trans. Control. Syst. Technol., 2016)

An energy-efficient method for multi-robot reconnaissance in an unknown environment. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (ACC, 2017)

Production as a service: A centralized framework for small batch manufacturing. - Efe C. Balta; Kshitij Jain 002; Yikai Lin; Dawn M. Tilbury; Kira Barton; Zhuoqing Morley Mao (CASE, 2017)

Anomaly detection and productivity analysis for cyber-physical systems in manufacturing. - Miguel Saez; Francisco P. Maturana; Kira Barton; Dawn M. Tilbury (CASE, 2017)

Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing. - Isaac A. Spiegel; Ilya Kovalenko; David J. Hoelzle; Patrick M. Sammons; Kira L. Barton (CCTA, 2017)

Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems. - Mitchell Cobb; Kira Barton; Hosam K. Fathy; Chris Vermillion (CDC, 2017)

Design and implementation of an intelligent product agent architecture in manufacturing systems. - Ilya Kovalenko; Kira Barton; Dawn M. Tilbury (ETFA, 2017)

A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion. - Joaquin Gabaldon; Ding Zhang; Kira Barton; Matthew Johnson-Roberson; K. Alex Shorter (IROS, 2017)

Exponential stability of nonlinear differential repetitive processes with applications to iterative learning control. - Berk Altin; Kira Barton (Autom., 2017)

Virtual fusion: a hybrid environment for improved commissioning in manufacturing systems. - Nicholas M. Putman; Francisco P. Maturana; Kira Barton; Dawn M. Tilbury (Int. J. Prod. Res., 2017)

Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms. - Felipe Lopez; Miguel Saez; Yuru Shao; Efe C. Balta; James R. Moyne; Zhuoqing Morley Mao; Kira Barton; Dawn M. Tilbury (IEEE Robotics Autom. Lett., 2017)

Closing the Loop in IoT-enabled Manufacturing Systems: Challenges and Opportunities. - Kira Barton; Francisco P. Maturana; Dawn M. Tilbury (ACC, 2018)

Ground Robot Terrain Mapping and Energy Prediction in Environments with 3-D Topography. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (ACC, 2018)

System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing. - Zhi Wang; Patrick M. Sammons; Christopher P. Pannier; Kira Barton; David J. Hoelzle (ACC, 2018)

A Centralized Framework for System-Level Control and Management of Additive Manufacturing Fleets. - Efe C. Balta; Dawn M. Tilbury; Kira Barton (CASE, 2018)

A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities. - Miguel Saez; Steven Lengieza; Francisco P. Maturana; Kira Barton; Dawn M. Tilbury (EIT, 2018)

Production as a Service: A Digital Manufacturing Framework for Optimizing Utilization. - Efe C. Balta; Yikai Lin; Kira Barton; Dawn M. Tilbury; Z. Morley Mao (IEEE Trans Autom. Sci. Eng., 2018)

Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things. - Miguel Saez; Francisco P. Maturana; Kira Barton; Dawn M. Tilbury (IEEE Trans Autom. Sci. Eng., 2018)

Control-Oriented Modeling and Layer-to-Layer Stability for Fused Deposition Modeling: A Kernel Basis Approach. - Efe C. Balta; Dawn M. Tilbury; Kira Barton (ACC, 2019)

An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion. - Mitchell Cobb; Kira Barton; Hosam K. Fathy; Chris Vermillion (ACC, 2019)

LPV models for jet-printed heightmap control. - Christopher Pannier; Maxwell Wu; David J. Hoelzle; Kira Barton (ACC, 2019)

Dynamic Rerouting of Cyber-Physical Production Systems in Response to Disruptions Based on SDC Framework. - Yassine Qamsane; Efe C. Balta; James R. Moyne; Dawn M. Tilbury; Kira Barton (ACC, 2019)

A Closed-Form Representation of Piecewise Defined Systems and their Integration with Iterative Learning Control. - Isaac A. Spiegel; Kira Barton (ACC, 2019)

A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling. - Efe C. Balta; Dawn M. Tilbury; Kira Barton (CASE, 2019)

A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems. - Yassine Qamsane; Chien-Ying Chen; Efe C. Balta; Bin-Chou Kao; Sibin Mohan; James R. Moyne; Dawn M. Tilbury; Kira Barton (CASE, 2019)

Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy. - Mitchell Cobb; Maxwell Wu; Kira Barton; Chris Vermillion (CDC, 2019)

Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras. - Ding Zhang; Joaquin Gabaldon; Lisa Lauderdale; Matthew Johnson-Roberson; Lance J. Miller; Kira Barton; K. Alex Shorter (ICRA, 2019)

ADD: Application and Data-Driven Controller Design. - Yikai Lin; Yuru Shao; Xiao Zhu 001; Junpeng Guo; Kira Barton; Z. Morley Mao (SOSR, 2019)

Towards Automated Safety Vetting of PLC Code in Real-World Plants. - Mu Zhang 001; Chien-Ying Chen; Bin-Chou Kao; Yassine Qamsane; Yuru Shao; Yikai Lin; Elaine Shi; Sibin Mohan; Kira Barton; James R. Moyne; Z. Morley Mao (IEEE Symposium on Security and Privacy, 2019)

Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems. - Ilya Kovalenko; Daria Ryashentseva; Birgit Vogel-Heuser; Dawn M. Tilbury; Kira Barton (IEEE Robotics Autom. Lett., 2019)

A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies. - Felix Ocker; Ilya Kovalenko; Kira Barton; Dawn M. Tilbury; Birgit Vogel-Heuser (IEEE Robotics Autom. Lett., 2019)

Chance constrained reachability in environments with spatially varying energy costs. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (Robotics Auton. Syst., 2019)

Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform. - Berk Altin; Zhi Wang; David J. Hoelzle; Kira Barton (IEEE Trans. Control. Syst. Technol., 2019)

A Control-Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling. - Doruk Aksoy; Efe C. Balta; Dawn M. Tilbury; Kira Barton (ACC, 2020)

A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives. - Maxwell J. Wu; Mitchell Cobb; Chris Vermillion; Kira Barton (ACC, 2020)

Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty. - Bo Fu 008; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (IROS, 2020)

A Requirements Driven Digital Twin Framework: Specification and Opportunities. - James R. Moyne; Yassine Qamsane; Efe C. Balta; Ilya Kovalenko; John Faris; Kira Barton; Dawn M. Tilbury (IEEE Access, 2020)

Off-road ground robot path energy cost prediction through probabilistic spatial mapping. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (J. Field Robotics, 2020)

Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (IEEE Robotics Autom. Lett., 2020)

Medication Adherence and Liquid Level Tracking System for Healthcare Provider Feedback. - Nolan Payne; Rahul Gangwani; Kira Barton; Alanson P. Sample; Stephen M. Cain; David T. Burke; Paula Anne Newman-Casey; K. Alex Shorter (Sensors, 2020)

Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis. - Miguel Saez; Francisco P. Maturana; Kira Barton; Dawn M. Tilbury (IEEE Trans Autom. Sci. Eng., 2020)

Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems. - Mitchell Cobb; Kira Barton; Hosam K. Fathy; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2020)

Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration. - Patrick M. Sammons; David J. Hoelzle; Kira Barton (IEEE Trans. Control. Syst. Technol., 2020)

Hybrid Modeling of Electrohydrodynamic Jet Printing. - Isaac A. Spiegel; Patrick M. Sammons; Kira Barton (IEEE Trans. Control. Syst. Technol., 2020)

A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data. - Md Ferdous Alam; Max Shtein; Kira Barton; David J. Hoelzle (ACC, 2021)

Manufacturing Line Design Configuration with Optimized Resource Groups. - Takahiro Nakano; Daiki Kajita; Heming Chen; Ilya Kovalenko; Efe C. Balta; Yassine Qamsane; Kira Barton (CASE, 2021)

Higher-Order Spatial Iterative Learning Control for Additive Manufacturing. - Zahra Afkhami; David J. Hoelzle; Kira Barton (CDC, 2021)

Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. - Efe C. Balta; Kira Barton; Dawn M. Tilbury; Alisa Rupenyan; John Lygeros (CDC, 2021)

Hierarchical Structures for Economic Repetitive Control. - Kirti D. Mishra; James Reed; Maxwell Wu; Kira Barton; Chris Vermillion (CDC, 2021)

Library-Based Norm-Optimal Iterative Learning Control. - James Reed; Maxwell Wu; Kira Barton; Chris Vermillion; Kirti D. Mishra (CDC, 2021)

Point-to-Point Repetitive Control with Optimal Tracking Time. - Maxwell Wu; Chris Vermillion; Kira Barton (CDC, 2021)

A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems. - Yassine Qamsane; James R. Moyne; Maxwell Toothman; Ilya Kovalenko; Efe C. Balta; John Faris; Dawn M. Tilbury; Kira Barton (IEEE Access, 2021)

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joseph Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (CoRR, 2021)

Receding Horizon Iterative Learning Control for Continuously Operated Systems. - Maxwell Wu; Mitchell Cobb; James Reed; Kirti D. Mishra; Chris Vermillion; Kira Barton (CoRR, 2021)

Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion. - Isaac A. Spiegel; Nard Strijbosch; Tom Oomen; Kira Barton (CoRR, 2021)

Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification. - Hao Wang; Yassine Qamsane; James R. Moyne; Kira Barton (CoRR, 2021)

Trend-Based Repair Quality Assessment for Industrial Rotating Equipment. - Maxwell Toothman; Birgit Braun; Scott J. Bury; Michael Dessauer; Kaytlin Henderson; Ray Wright; Dawn M. Tilbury; James R. Moyne; Kira Barton (IEEE Control. Syst. Lett., 2021)

Layer-to-Layer Stability of Linear Layerwise Spatially Varying Systems: Applications in Fused Deposition Modeling. - Efe C. Balta; Dawn M. Tilbury; Kira Barton (IEEE Trans. Control. Syst. Technol., 2021)

Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model. - Md Ferdous Alam; Max Shtein; Kira Barton; David J. Hoelzle (ACC, 2022)

Probabilistically Safe Mobile Manipulation in an Unmodeled Environment with Automated Feedback Tuning. - Tyler Toner; Dawn M. Tilbury; Kira Barton (ACC, 2022)

A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions*. - Mingjie Bi; Gongyu Chen; Dawn M. Tilbury; Siqian Shen; Kira Barton (CASE, 2022)

Digital Twin Framework for Reconfiguration Management. - Birte Caesar; Dawn M. Tilbury; Kira Barton; Alexander Fay (CASE, 2022)

An Integrated Framework for Dynamic Manufacturing Planning to Obtain New Line Configurations. - Laxmi Poudel; Ilya Kovalenko; Ruijie Geng; Takaharu Matsui; Youichi Nonaka; Takahiro Nakano; Shota Umeda; Dawn M. Tilbury; Kira Barton (CASE, 2022)

Toward an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems. - Ilya Kovalenko; James R. Moyne; Mingjie Bi; Efe C. Balta; Wenyuan Ma; Yassine Qamsane; Xiao Zhu 001; Z. Morley Mao; Dawn M. Tilbury; Kira Barton (IEEE Access, 2022)

Open Process Automation- and Digital Twin-Based Performance Monitoring of a Process Manufacturing System. - Yassine Qamsane; James R. Phillips; Clare Savaglio; David Warner; Scott C. James; Kira Barton (IEEE Access, 2022)

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joey Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Access, 2022)

Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. - Bo Fu 008; Tribhi Kathuria; Denise M. Rizzo; Matthew P. Castanier; X. Jessie Yang; Maani Ghaffari; Kira Barton (CoRR, 2022)

A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions. - Mingjie Bi; Gongyu Chen; Dawn M. Tilbury; Siqian Shen; Kira Barton (CoRR, 2022)

Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation. - Bo Fu 008; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Maani Ghaffari; Kira Barton (CoRR, 2022)

Integrating optimal process and supplier selection in personalised product architecture design. - Changbai Tan; Kira Barton; S. Jack Hu; Theodor Freiheit (Int. J. Prod. Res., 2022)

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments. - Joey Wilson; Jingyu Song; Yuewei Fu; Arthur Zhang; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Robotics Autom. Lett., 2022)

Model Predictive Control of Priced Timed Automata Encoded With First-Order Logic. - Efe C. Balta; Ilya Kovalenko; Isaac A. Spiegel; Dawn M. Tilbury; Kira Barton (IEEE Trans. Control. Syst. Technol., 2022)

Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems. - Mitchell Cobb; James Reed; Joshua Daniels; Ayaz Siddiqui; Maxwell Wu; Hosam K. Fathy; Kira Barton; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2022)

Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems. - Mitchell Cobb; James Reed; Maxwell Wu; Kirti D. Mishra; Kira Barton; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2022)

A Multi-Objective Mixed-Integer Programming Approach for Supply Chain Disruption Response with Lead-Time Awareness. - Juan-Alberto Estrada-Garcia; Mingjie Bi; Dawn M. Tilbury; Kira Barton; Siqian Shen (CASE, 2023)

An Adaptive, State-Based Framework for Fault Prediction in Rotating Equipment. - Maxwell Toothman; Birgit Braun; Scott J. Bury; James R. Moyne; Dawn M. Tilbury; Kira Barton (CASE, 2023)

Using Economic Iterative Learning Control for Time-Optimal Control of a Redundant Manipulator. - Matthijs van de Vosse; Tyler Toner; Maxwell J. Wu; Dawn M. Tilbury; Kira L. Barton (CASE, 2023)

Estimating propulsive efficiency of bottlenose dolphins during steady-state swimming. - Gabriel Antoniak; Enric Xargay; Joaquin Gabaldon; Kira Barton; Bogdan-Ioan Popa; K. Alex Shorter (CCTA, 2023)

Dimensionless Analysis of the Transition from Continuous Jet Mode to Natural Pulsation in Electrohydrodynamic Jet Printing. - Ali Bahrami; Angelo Hawa; Kaifan Yue; Kira Barton (CCTA, 2023)

Input Shaping for Control of a High-Resolution Electrohydrodynamic Jet Printing Process. - Nazanin Farjam; Maxwell Wu; Angelo Hawa; Kira Barton (CCTA, 2023)

Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling. - Maxwell Wu; Chris Vermillion; Kira Barton (CCTA, 2023)

A Low-Order Model of Dolphin Swimming Dynamics: Fluke Flexibility and Energetics. - Enric Xargay; Gabriel Antoniak; Kira Barton; K. Alex Shorter (CCTA, 2023)

Enhancing the Efficacy of Lower-body Assistive Devices Through the Understanding of Human Movement in the Real World. - Loubna Baroudi; Stephen M. Cain; K. Alex Shorter; Kira Barton (ICRA, 2023)

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. - Joey Wilson; Yuewei Fu; Arthur Zhang; Jingyu Song; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (ICRA, 2023)

Digital Twin Framework for Reconfiguration Management: Concept & Evaluation. - Birte Caesar; Kira Barton; Dawn M. Tilbury; Alexander Fay (IEEE Access, 2023)

Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion. - Ilya Kovalenko; Kira Barton; James R. Moyne; Dawn M. Tilbury (CoRR, 2023)

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. - Bo Fu 008; Tribhi Kathuria; Denise M. Rizzo; Matthew P. Castanier; X. Jessie Yang; Maani Ghaffari; Kira Barton (CoRR, 2023)

Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling. - Md Ferdous Alam; Max Shtein; Kira Barton; David J. Hoelzle (IEEE Control. Syst. Lett., 2023)

Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions. - Maxwell Toothman; Birgit Braun; Scott J. Bury; James R. Moyne; Dawn M. Tilbury; Yixin Ye; Kira Barton (Sensors, 2023)

Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework. - Ilya Kovalenko; Efe C. Balta; Dawn M. Tilbury; Kira Barton (IEEE Trans Autom. Sci. Eng., 2023)

Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty. - Bo Fu 008; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Maani Ghaffari; Kira Barton (IEEE Trans. Robotics, 2023)

Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion [Opinion]. - Ilya Kovalenko; Kira Barton; James R. Moyne; Dawn M. Tilbury (IEEE Robotics Autom. Mag., 2023)

Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing Systems. - Zahra Afkhami; David J. Hoelzle; Kira Barton (IEEE Trans. Control. Syst. Technol., 2023)

A digital twin framework for prognostics and health management. - Maxwell Toothman; Birgit Braun; Scott J. Bury; James R. Moyne; Dawn M. Tilbury; Yixin Ye; Kira Barton (Comput. Ind., 2023)

Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue Management. - Xinghui (Erica) Yan; Loubna Baroudi; Rongqi Bei; Leila Boudalia; Stephen M. Cain; Kira Barton; K. Alex Shorter; Mark W. Newman (Conference on Designing Interactive Systems, 2024)

Voltage Waveform Optimization Through Data-Driven Modeling in Electrohydrodynamic Jet Printing. - Angelo Hawa; Kira Barton (ACC, 2024)

Predictive Modeling of Human Fatigue in a Manufacturing-Like Setting. - Abigail Rafter; Dawn M. Tilbury; Kira Barton (ACC, 2024)

Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control. - Tyler Toner; Vahidreza Molazadeh; Miguel Saez; Dawn M. Tilbury; Kira Barton (ICRA, 2024)

Iterative learning spatial height control for layerwise processes. - Efe C. Balta; Dawn M. Tilbury; Kira Barton (Autom., 2024)

Latent BKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty. - Joey Wilson; Ruihan Xu 003; Yile Sun; Parker Ewen; Minghan Zhu; Kira Barton; Maani Ghaffari (CoRR, 2024)

ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty. - Joey Wilson; Yuewei Fu; Joshua Friesen; Parker Ewen; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Trans. Robotics, 2024)

Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems. - Mingjie Bi; Ilya Kovalenko; Dawn M. Tilbury; Kira Barton (Int. J. Prod. Res., 2024)

Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems. - Efe C. Balta; Michael Pease; James R. Moyne; Kira Barton; Dawn M. Tilbury (IEEE Trans Autom. Sci. Eng., 2024)

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response. - Mingjie Bi; Juan-Alberto Estrada-Garcia; Dawn M. Tilbury; Siqian Shen; Kira Barton (IEEE Robotics Autom. Lett., 2024)

A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes. - Mingjie Bi; Dawn M. Tilbury; Siqian Shen; Kira Barton (IEEE Trans Autom. Sci. Eng., 2024)

PRF: A Program Reuse Framework for Automated Programming by Learning from Existing Robot Programs. - Tyler Toner; Dawn M. Tilbury; Kira Barton (Robotics, 2024)

Stable Inversion of Piecewise Affine Systems With Application to Feedforward and Iterative Learning Control. - Isaac A. Spiegel; Nard Strijbosch; Robin de Rozario; Tom Oomen; Kira Barton (IEEE Trans. Autom. Control., 2024)

Characterization of Human Driving Behaviors in Shared Vehicle Control Based on Level-k Cognitive Modeling. - Aleksandra Dudek; Patrick Linford; Ian Holbrook; Scott James; Matthew P. Castanier; Chris Vermillion; Kira Barton (ACC, 2025)

MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty. - Leo Bringer; Joey Wilson; Kira Barton; Maani Ghaffari (CVPR Workshops, 2025)

Supply Chain Design Optimization With Heterogeneous Risk-Aware Agents. - Juan-Alberto Estrada-Garcia; Dawn M. Tilbury; Kira Barton; Siqian Shen (IEEE Trans Autom. Sci. Eng., 2025)

Digital Twin-Based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling. - Bo Fu 008; Mingjie Bi; Shota Umeda; Takahiro Nakano; Youichi Nonaka; Quan Zhou; Takaharu Matsui; Dawn M. Tilbury; Kira Barton (IEEE Trans Autom. Sci. Eng., 2025)

GraspMixer: Hybrid of Contact Surface Sampling and Grasp Feature Mixing for Grasp Synthesis. - Hojun Lee; Tyler Toner; Dawn M. Tilbury; Kira Barton (IEEE Trans Autom. Sci. Eng., 2025)

LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces With Quantifiable Uncertainty. - Joey Wilson; Ruihan Xu 003; Yile Sun; Parker Ewen; Minghan Zhu; Kira Barton; Maani Ghaffari (IEEE Robotics Autom. Lett., 2025)