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2020 – today
- 2024
[j49]Efe C. Balta, Dawn M. Tilbury, Kira Barton:
Iterative learning spatial height control for layerwise processes. Autom. 167: 111756 (2024)- [j48]Mingjie Bi
, Ilya Kovalenko, Dawn M. Tilbury, Kira Barton:
Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems. Int. J. Prod. Res. 62(5): 1737-1757 (2024) - [j47]Mingjie Bi, Juan-Alberto Estrada-Garcia, Dawn M. Tilbury, Siqian Shen, Kira Barton:
Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response. IEEE Robotics Autom. Lett. 9(6): 5126-5133 (2024) - [j46]Tyler Toner, Dawn M. Tilbury, Kira Barton:
PRF: A Program Reuse Framework for Automated Programming by Learning from Existing Robot Programs. Robotics 13(8): 118 (2024) - [j45]Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton:
Stable Inversion of Piecewise Affine Systems With Application to Feedforward and Iterative Learning Control. IEEE Trans. Autom. Control. 69(10): 6836-6851 (2024) - [j44]Efe C. Balta, Michael Pease, James R. Moyne, Kira Barton, Dawn M. Tilbury:
Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems. IEEE Trans Autom. Sci. Eng. 21(2): 1695-1712 (2024) - [j43]Mingjie Bi, Dawn M. Tilbury, Siqian Shen, Kira Barton:
A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes. IEEE Trans Autom. Sci. Eng. 21(3): 2223-2236 (2024) - [j42]Joey Wilson, Yuewei Fu, Joshua Friesen, Parker Ewen, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty. IEEE Trans. Robotics 40: 4648-4667 (2024) - [c69]Xinghui (Erica) Yan, Loubna Baroudi, Rongqi Bei, Leila Boudalia, Stephen M. Cain, Kira Barton, K. Alex Shorter, Mark W. Newman:
Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue Management. Conference on Designing Interactive Systems 2024 - [c68]Abigail Rafter, Dawn M. Tilbury, Kira Barton:
Predictive Modeling of Human Fatigue in a Manufacturing-Like Setting. ACC 2024: 4472-4478 - [c67]Angelo Hawa, Kira Barton:
Voltage Waveform Optimization Through Data-Driven Modeling in Electrohydrodynamic Jet Printing. ACC 2024: 4499-4505 - [c66]Tyler Toner, Vahidreza Molazadeh, Miguel Saez, Dawn M. Tilbury, Kira Barton:
Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control. ICRA 2024: 12585-12591 - [i20]Tyler Toner, Vahidreza Molazadeh, Miguel Saez, Dawn M. Tilbury, Kira Barton:
Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control. CoRR abs/2402.10372 (2024) - [i19]Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton:
Stable Inversion of Piecewise Affine Systems with Application to Feedforward and Iterative Learning Control. CoRR abs/2404.09845 (2024) - [i18]Leo Bringer, Joey Wilson, Kira Barton, Maani Ghaffari:
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty. CoRR abs/2410.03860 (2024) - [i17]Joey Wilson, Ruihan Xu, Yile Sun, Parker Ewen, Minghan Zhu, Kira Barton, Maani Ghaffari:
Latent BKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty. CoRR abs/2410.11783 (2024) - 2023
- [j41]Birte Caesar, Kira Barton, Dawn M. Tilbury, Alexander Fay:
Digital Twin Framework for Reconfiguration Management: Concept & Evaluation. IEEE Access 11: 127364-127387 (2023) - [j40]Maxwell Toothman, Birgit Braun, Scott J. Bury, James R. Moyne, Dawn M. Tilbury, Yixin Ye, Kira Barton:
A digital twin framework for prognostics and health management. Comput. Ind. 150: 103948 (2023) - [j39]Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle:
Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling. IEEE Control. Syst. Lett. 7: 508-513 (2023) - [j38]Ilya Kovalenko, Kira Barton, James R. Moyne, Dawn M. Tilbury:
Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion [Opinion]. IEEE Robotics Autom. Mag. 30(2): 109-112 (2023) - [j37]Maxwell Toothman, Birgit Braun, Scott J. Bury, James R. Moyne, Dawn M. Tilbury, Yixin Ye, Kira Barton:
Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions. Sensors 23(8): 4009 (2023) - [j36]Ilya Kovalenko, Efe C. Balta, Dawn M. Tilbury, Kira Barton:
Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework. IEEE Trans Autom. Sci. Eng. 20(1): 440-457 (2023) - [j35]Zahra Afkhami, David J. Hoelzle, Kira Barton:
Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing Systems. IEEE Trans. Control. Syst. Technol. 31(4): 1692-1707 (2023) - [j34]Bo Fu, William Smith, Denise M. Rizzo, Matthew P. Castanier, Maani Ghaffari, Kira Barton:
Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty. IEEE Trans. Robotics 39(2): 1087-1105 (2023) - [c65]Juan-Alberto Estrada-Garcia, Mingjie Bi, Dawn M. Tilbury, Kira Barton, Siqian Shen:
A Multi-Objective Mixed-Integer Programming Approach for Supply Chain Disruption Response with Lead-Time Awareness. CASE 2023: 1-6 - [c64]Maxwell Toothman, Birgit Braun, Scott J. Bury, James R. Moyne, Dawn M. Tilbury, Kira Barton:
An Adaptive, State-Based Framework for Fault Prediction in Rotating Equipment. CASE 2023: 1-6 - [c63]Matthijs van de Vosse, Tyler Toner, Maxwell J. Wu, Dawn M. Tilbury, Kira L. Barton:
Using Economic Iterative Learning Control for Time-Optimal Control of a Redundant Manipulator. CASE 2023: 1-7 - [c62]Ali Bahrami, Angelo Hawa, Kaifan Yue, Kira Barton:
Dimensionless Analysis of the Transition from Continuous Jet Mode to Natural Pulsation in Electrohydrodynamic Jet Printing. CCTA 2023: 143-149 - [c61]Nazanin Farjam, Maxwell Wu, Angelo Hawa, Kira Barton:
Input Shaping for Control of a High-Resolution Electrohydrodynamic Jet Printing Process. CCTA 2023: 156-161 - [c60]Enric Xargay, Gabriel Antoniak, Kira Barton, K. Alex Shorter:
A Low-Order Model of Dolphin Swimming Dynamics: Fluke Flexibility and Energetics. CCTA 2023: 663-669 - [c59]Gabriel Antoniak, Enric Xargay, Joaquin Gabaldon, Kira Barton, Bogdan-Ioan Popa, K. Alex Shorter:
Estimating propulsive efficiency of bottlenose dolphins during steady-state swimming. CCTA 2023: 675-680 - [c58]Maxwell Wu, Chris Vermillion, Kira Barton:
Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling. CCTA 2023: 934-940 - [c57]Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. ICRA 2023: 8364-8370 - [c56]Loubna Baroudi, Stephen M. Cain, K. Alex Shorter, Kira Barton:
Enhancing the Efficacy of Lower-body Assistive Devices Through the Understanding of Human Movement in the Real World. ICRA 2023: 11351-11358 - [i16]Ilya Kovalenko, Kira Barton, James R. Moyne, Dawn M. Tilbury:
Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion. CoRR abs/2303.11139 (2023) - [i15]Juan-Alberto Estrada-Garcia, Mingjie Bi, Dawn M. Tilbury, Kira Barton, Siqian Shen:
A Multi-objective Mixed-integer Programming Approach for Supply Chain Disruption Response with Lead-Time Awareness. CoRR abs/2308.02687 (2023) - [i14]Bo Fu, Tribhi Kathuria, Denise M. Rizzo, Matthew P. Castanier, X. Jessie Yang, Maani Ghaffari, Kira Barton:
Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. CoRR abs/2309.15373 (2023) - [i13]Joey Wilson, Yuewei Fu, Joshua Friesen, Parker Ewen, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty. CoRR abs/2310.16020 (2023) - 2022
- [j33]Ilya Kovalenko, James R. Moyne, Mingjie Bi, Efe C. Balta, Wenyuan Ma, Yassine Qamsane, Xiao Zhu, Z. Morley Mao, Dawn M. Tilbury, Kira Barton:
Toward an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems. IEEE Access 10: 38755-38773 (2022) - [j32]Yassine Qamsane, James R. Phillips, Clare Savaglio, David Warner, Scott C. James, Kira Barton:
Open Process Automation- and Digital Twin-Based Performance Monitoring of a Process Manufacturing System. IEEE Access 10: 60823-60835 (2022) - [j31]Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference. IEEE Access 10: 97954-97970 (2022) - [j30]Changbai Tan, Kira Barton, S. Jack Hu, Theodor Freiheit:
Integrating optimal process and supplier selection in personalised product architecture design. Int. J. Prod. Res. 60(8): 2461-2480 (2022) - [j29]Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments. IEEE Robotics Autom. Lett. 7(3): 8439-8446 (2022) - [j28]Efe C. Balta, Ilya Kovalenko, Isaac A. Spiegel, Dawn M. Tilbury, Kira Barton:
Model Predictive Control of Priced Timed Automata Encoded With First-Order Logic. IEEE Trans. Control. Syst. Technol. 30(1): 352-359 (2022) - [j27]Mitchell Cobb, James Reed, Joshua Daniels, Ayaz Siddiqui, Maxwell Wu, Hosam K. Fathy, Kira Barton, Chris Vermillion:
Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems. IEEE Trans. Control. Syst. Technol. 30(2): 639-653 (2022) - [j26]Mitchell Cobb, James Reed, Maxwell Wu, Kirti D. Mishra, Kira Barton, Chris Vermillion:
Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems. IEEE Trans. Control. Syst. Technol. 30(6): 2767-2774 (2022) - [c55]Tyler Toner, Dawn M. Tilbury, Kira Barton:
Probabilistically Safe Mobile Manipulation in an Unmodeled Environment with Automated Feedback Tuning. ACC 2022: 1214-1221 - [c54]Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle:
Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model. ACC 2022: 2892-2898 - [c53]Mingjie Bi, Gongyu Chen, Dawn M. Tilbury, Siqian Shen, Kira Barton:
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions*. CASE 2022: 235-241 - [c52]Laxmi Poudel, Ilya Kovalenko, Ruijie Geng, Takaharu Matsui, Youichi Nonaka, Takahiro Nakano, Umeda Shota, Dawn M. Tilbury, Kira Barton:
An Integrated Framework for Dynamic Manufacturing Planning to Obtain New Line Configurations. CASE 2022: 328-334 - [c51]Birte Caesar, Dawn M. Tilbury, Kira Barton, Alexander Fay:
Digital Twin Framework for Reconfiguration Management. CASE 2022: 1807-1813 - [i12]Bo Fu, Tribhi Kathuria, Denise M. Rizzo, Matthew P. Castanier, X. Jessie Yang, Maani Ghaffari, Kira Barton:
Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. CoRR abs/2201.10635 (2022) - [i11]Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments. CoRR abs/2203.07060 (2022) - [i10]Mingjie Bi, Gongyu Chen, Dawn M. Tilbury, Siqian Shen, Kira Barton:
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions. CoRR abs/2207.03460 (2022) - [i9]Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. CoRR abs/2209.10663 (2022) - [i8]Bo Fu, William Smith, Denise M. Rizzo, Matthew P. Castanier, Maani Ghaffari, Kira Barton:
Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation. CoRR abs/2211.03286 (2022) - 2021
- [j25]Yassine Qamsane, James R. Moyne, Maxwell Toothman, Ilya Kovalenko, Efe C. Balta, John Faris, Dawn M. Tilbury, Kira Barton:
A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems. IEEE Access 9: 44247-44265 (2021) - [j24]Maxwell Toothman, Birgit Braun, Scott J. Bury, Michael Dessauer, Kaytlin Henderson, Ray Wright, Dawn M. Tilbury, James R. Moyne, Kira Barton:
Trend-Based Repair Quality Assessment for Industrial Rotating Equipment. IEEE Control. Syst. Lett. 5(5): 1675-1680 (2021) - [j23]Efe C. Balta, Dawn M. Tilbury, Kira Barton:
Layer-to-Layer Stability of Linear Layerwise Spatially Varying Systems: Applications in Fused Deposition Modeling. IEEE Trans. Control. Syst. Technol. 29(6): 2517-2532 (2021) - [c50]Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle:
A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data. ACC 2021: 484-490 - [c49]Maxwell Toothman, Birgit Braun, Scott J. Bury, Michael Dessauer, Kaytlin Henderson, Ray Wright, Dawn M. Tilbury, James R. Moyne, Kira Barton:
Trend-based repair quality assessment for industrial rotating equipment. ACC 2021: 502-507 - [c48]Takahiro Nakano, Daiki Kajita, Heming Chen, Ilya Kovalenko, Efe C. Balta, Yassine Qamsane, Kira Barton:
Manufacturing Line Design Configuration with Optimized Resource Groups. CASE 2021: 625-632 - [c47]Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CDC 2021: 3605-3610 - [c46]Kirti D. Mishra, James Reed, Maxwell Wu, Kira Barton, Chris Vermillion:
Hierarchical Structures for Economic Repetitive Control. CDC 2021: 5838-5844 - [c45]Maxwell Wu, Chris Vermillion, Kira Barton:
Point-to-Point Repetitive Control with Optimal Tracking Time. CDC 2021: 5845-5850 - [c44]James Reed, Maxwell Wu, Kira Barton, Chris Vermillion, Kirti D. Mishra:
Library-Based Norm-Optimal Iterative Learning Control. CDC 2021: 5851-5857 - [c43]Zahra Afkhami, David J. Hoelzle, Kira Barton:
Higher-Order Spatial Iterative Learning Control for Additive Manufacturing. CDC 2021: 6547-6553 - [i7]Bo Fu, William Smith, Denise M. Rizzo, Matthew P. Castanier, Maani Ghaffari, Kira Barton:
Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty. CoRR abs/2106.12111 (2021) - [i6]Aishwarya Unnikrishnan, Joseph Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. CoRR abs/2108.03180 (2021) - [i5]Maxwell Wu, Mitchell Cobb, James Reed, Kirti D. Mishra, Chris Vermillion, Kira Barton:
Receding Horizon Iterative Learning Control for Continuously Operated Systems. CoRR abs/2108.06866 (2021) - [i4]Isaac A. Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton:
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion. CoRR abs/2108.07315 (2021) - [i3]Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CoRR abs/2111.10246 (2021) - [i2]Hao Wang, Yassine Qamsane, James R. Moyne, Kira Barton:
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification. CoRR abs/2112.04572 (2021) - 2020
- [j22]James R. Moyne, Yassine Qamsane, Efe C. Balta, Ilya Kovalenko, John Faris, Kira Barton, Dawn M. Tilbury:
A Requirements Driven Digital Twin Framework: Specification and Opportunities. IEEE Access 8: 107781-107801 (2020) - [j21]Michael Quann, Lauro V. Ojeda, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
Off-road ground robot path energy cost prediction through probabilistic spatial mapping. J. Field Robotics 37(3): 421-439 (2020) - [j20]Michael Quann, Lauro V. Ojeda, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data. IEEE Robotics Autom. Lett. 5(2): 1579-1586 (2020) - [j19]Nolan Payne, Rahul Gangwani, Kira Barton, Alanson P. Sample, Stephen M. Cain, David T. Burke, Paula Anne Newman-Casey, K. Alex Shorter:
Medication Adherence and Liquid Level Tracking System for Healthcare Provider Feedback. Sensors 20(8): 2435 (2020) - [j18]Miguel Saez, Francisco P. Maturana, Kira Barton, Dawn M. Tilbury:
Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis. IEEE Trans Autom. Sci. Eng. 17(1): 29-40 (2020) - [j17]Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion:
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. 28(4): 1447-1459 (2020) - [j16]Patrick M. Sammons, David J. Hoelzle, Kira Barton:
Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration. IEEE Trans. Control. Syst. Technol. 28(5): 1972-1979 (2020) - [j15]Isaac A. Spiegel, Patrick M. Sammons, Kira Barton:
Hybrid Modeling of Electrohydrodynamic Jet Printing. IEEE Trans. Control. Syst. Technol. 28(6): 2322-2335 (2020) - [c42]Doruk Aksoy, Efe C. Balta, Dawn M. Tilbury, Kira Barton:
A Control-Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling. ACC 2020: 474-480 - [c41]Maxwell J. Wu, Mitchell Cobb, Chris Vermillion, Kira Barton:
A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives. ACC 2020: 4792-4797 - [c40]Bo Fu, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty. IROS 2020: 4315-4322 - [i1]Bo Fu, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty. CoRR abs/2010.11376 (2020)
2010 – 2019
- 2019
- [j14]Ilya Kovalenko, Daria Ryashentseva, Birgit Vogel-Heuser, Dawn M. Tilbury, Kira Barton:
Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems. IEEE Robotics Autom. Lett. 4(3): 2854-2861 (2019) - [j13]Felix Ocker, Ilya Kovalenko, Kira Barton, Dawn M. Tilbury, Birgit Vogel-Heuser:
A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies. IEEE Robotics Autom. Lett. 4(4): 4330-4337 (2019) - [j12]Michael Quann, Lauro V. Ojeda, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
Chance constrained reachability in environments with spatially varying energy costs. Robotics Auton. Syst. 119: 1-12 (2019) - [j11]Berk Altin, Zhi Wang, David J. Hoelzle, Kira Barton:
Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform. IEEE Trans. Control. Syst. Technol. 27(6): 2470-2483 (2019) - [c39]Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion:
An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion. ACC 2019: 2164-2170 - [c38]Isaac A. Spiegel, Kira Barton:
A Closed-Form Representation of Piecewise Defined Systems and their Integration with Iterative Learning Control. ACC 2019: 2327-2333 - [c37]Yassine Qamsane, Efe C. Balta, James R. Moyne, Dawn M. Tilbury, Kira Barton:
Dynamic Rerouting of Cyber-Physical Production Systems in Response to Disruptions Based on SDC Framework. ACC 2019: 3650-3657 - [c36]Efe C. Balta, Dawn M. Tilbury, Kira Barton:
Control-Oriented Modeling and Layer-to-Layer Stability for Fused Deposition Modeling: A Kernel Basis Approach. ACC 2019: 4727-4733 - [c35]Christopher Pannier, Maxwell Wu, David J. Hoelzle, Kira Barton:
LPV models for jet-printed heightmap control. ACC 2019: 5402-5407 - [c34]Efe C. Balta, Dawn M. Tilbury, Kira Barton:
A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling. CASE 2019: 823-829 - [c33]Yassine Qamsane, Chien-Ying Chen, Efe C. Balta, Bin-Chou Kao, Sibin Mohan, James R. Moyne, Dawn M. Tilbury, Kira Barton:
A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems. CASE 2019: 1394-1401 - [c32]Mitchell Cobb, Maxwell Wu, Kira Barton, Chris Vermillion:
Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy. CDC 2019: 5580-5586 - [c31]Ding Zhang, Joaquin Gabaldon, Lisa Lauderdale, Matthew Johnson-Roberson, Lance J. Miller, Kira Barton, K. Alex Shorter:
Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras. ICRA 2019: 6575-6581 - [c30]Yikai Lin, Yuru Shao, Xiao Zhu, Junpeng Guo, Kira Barton, Z. Morley Mao:
ADD: Application and Data-Driven Controller Design. SOSR 2019: 84-90 - [c29]Mu Zhang, Chien-Ying Chen, Bin-Chou Kao, Yassine Qamsane, Yuru Shao, Yikai Lin, Elaine Shi, Sibin Mohan, Kira Barton, James R. Moyne, Z. Morley Mao:
Towards Automated Safety Vetting of PLC Code in Real-World Plants. IEEE Symposium on Security and Privacy 2019: 522-538 - 2018
- [j10]Efe C. Balta, Yikai Lin, Kira Barton, Dawn M. Tilbury, Z. Morley Mao:
Production as a Service: A Digital Manufacturing Framework for Optimizing Utilization. IEEE Trans Autom. Sci. Eng. 15(4): 1483-1493 (2018) - [j9]Miguel Saez, Francisco P. Maturana, Kira Barton, Dawn M. Tilbury:
Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things. IEEE Trans Autom. Sci. Eng. 15(4): 1735-1748 (2018) - [c28]Michael Quann, Lauro V. Ojeda, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
Ground Robot Terrain Mapping and Energy Prediction in Environments with 3-D Topography. ACC 2018: 3532-3537 - [c27]Zhi Wang, Patrick M. Sammons, Christopher P. Pannier, Kira Barton, David J. Hoelzle:
System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing. ACC 2018: 4464-4471 - [c26]Kira Barton, Francisco P. Maturana, Dawn M. Tilbury:
Closing the Loop in IoT-enabled Manufacturing Systems: Challenges and Opportunities. ACC 2018: 5503-5509 - [c25]Efe C. Balta, Dawn M. Tilbury, Kira Barton:
A Centralized Framework for System-Level Control and Management of Additive Manufacturing Fleets. CASE 2018: 1071-1078 - [c24]Miguel Saez, Steven Lengieza, Francisco P. Maturana, Kira Barton, Dawn M. Tilbury:
A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities. EIT 2018: 519-524 - 2017
- [j8]Berk Altin, Kira Barton:
Exponential stability of nonlinear differential repetitive processes with applications to iterative learning control. Autom. 81: 369-376 (2017) - [j7]Nicholas M. Putman, Francisco P. Maturana, Kira Barton, Dawn M. Tilbury:
Virtual fusion: a hybrid environment for improved commissioning in manufacturing systems. Int. J. Prod. Res. 55(21): 6254-6265 (2017) - [j6]Felipe Lopez, Miguel Saez, Yuru Shao, Efe C. Balta, James R. Moyne, Zhuoqing Morley Mao, Kira Barton, Dawn M. Tilbury:
Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms. IEEE Robotics Autom. Lett. 2(4): 1885-1892 (2017) - [c23]Michael Quann, Lauro V. Ojeda, William Smith, Denise M. Rizzo, Matthew P. Castanier, Kira Barton:
An energy-efficient method for multi-robot reconnaissance in an unknown environment. ACC 2017: 2279-2284 - [c22]Miguel Saez, Francisco P. Maturana, Kira Barton, Dawn M. Tilbury:
Anomaly detection and productivity analysis for cyber-physical systems in manufacturing. CASE 2017: 23-29 - [c21]Efe C. Balta, Kshitij Jain, Yikai Lin, Dawn M. Tilbury, Kira Barton, Zhuoqing Morley Mao:
Production as a service: A centralized framework for small batch manufacturing. CASE 2017: 382-389 - [c20]Isaac A. Spiegel, Ilya Kovalenko, David J. Hoelzle, Patrick M. Sammons, Kira L. Barton:
Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing. CCTA 2017: 695-701 - [c19]Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion:
Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems. CDC 2017: 2698-2704 - [c18]Ilya Kovalenko, Kira Barton, Dawn M. Tilbury:
Design and implementation of an intelligent product agent architecture in manufacturing systems. ETFA 2017: 1-8 - [c17]Joaquin Gabaldon, Ding Zhang, Kira Barton, Matthew Johnson-Roberson, K. Alex Shorter:
A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion. IROS 2017: 2505-2510 - 2016
- [j5]David J. Hoelzle, Kira L. Barton:
On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency. IEEE Trans. Control. Syst. Technol. 24(4): 1504-1512 (2016) - [c16]Zhi Wang, Christopher Pannier, Lauro V. Ojeda, Kira Barton, David J. Hoelzle:
An application of spatial Iterative Learning Control to micro-additive manufacturing. ACC 2016: 354-359 - 2015
- [c15]Berk Altin, Kira Barton:
Learning control of linear iteration varying systems with varying references through robust invariant update laws. ACC 2015: 4880-4885 - [c14]Miguel Saez, Francisco P. Maturana, Kira Barton, Dawn M. Tilbury:
Real-time hybrid simulation of manufacturing systems for performance analysis and control. CASE 2015: 526-531 - [c13]Berk Altin, Kira Barton:
On linearized stability of differential repetitive processes and iterative learning control. CDC 2015: 6064-6069 - 2014
- [c12]David J. Hoelzle, Kira L. Barton:
A new spatial Iterative Learning Control approach for improved micro-Additive Manufacturing. ACC 2014: 1805-1810 - 2013
- [c11]Ingyu Lim, Kira L. Barton:
Pareto optimization-based Iterative Learning Control. ACC 2013: 5171-5176 - [c10]Kira Barton, Derek B. Kingston:
Systematic surveillance for UAVs: A feedforward iterative learning control approach. ACC 2013: 5917-5922 - [c9]Berk Altin, Kira Barton:
ℒ1 adaptive control in an iterative learning control framework: Stability, robustness and design trade-offs. ACC 2013: 6697-6702 - 2012
- [c8]David J. Hoelzle, Kira Barton:
Flexible iterative learning control using a library based interpolation scheme. CDC 2012: 3978-3984 - 2011
- [j4]Kira L. Barton, David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson:
Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation. Int. J. Control 84(7): 1223-1233 (2011) - [j3]Kira Barton, Andrew G. Alleyne:
A Norm Optimal Approach to Time-Varying ILC With Application to a Multi-Axis Robotic Testbed. IEEE Trans. Control. Syst. Technol. 19(1): 166-180 (2011) - [c7]Kira Barton, Sandipan Mishra, Enric Xargay:
Robust Iterative Learning Control: L1 adaptive feedback control in an ILC framework. ACC 2011: 3663-3668 - 2010
- [j2]Kira L. Barton, Douglas A. Bristow, Andrew G. Alleyne:
A numerical method for determining monotonicity and convergence rate in iterative learning control. Int. J. Control 83(2): 219-226 (2010) - [c6]Kira Barton, Andrew G. Alleyne:
Precision coordination and motion control of multiple systems via iterative learning control. ACC 2010: 1272-1277 - [c5]Sandipan Mishra, Kira Barton, Andrew G. Alleyne:
Control of high-resolution Electrohydrodynamic jet printing. ACC 2010: 6537-6542
2000 – 2009
- 2009
- [c4]Kira Barton, Andrew G. Alleyne:
Norm optimal ILC with time-varying weighting matrices. ACC 2009: 264-270 - 2008
- [j1]Kira Barton, Andrew G. Alleyne:
A Cross-Coupled Iterative Learning Control Design for Precision Motion Control. IEEE Trans. Control. Syst. Technol. 16(6): 1218-1231 (2008) - [c3]Kira L. Barton, Douglas A. Bristow, Andrew G. Alleyne:
Design of a linear time-varying cross-coupled Iterative Learning Controller. ACC 2008: 3914-3920 - [c2]Kira Barton, Jeroen van de Wijdeven, Andrew G. Alleyne, Okko H. Bosgra, Maarten Steinbuch:
Norm optimal Cross-Coupled Iterative Learning Control. CDC 2008: 3020-3025 - 2007
- [c1]Kira L. Barton, Andrew G. Alleyne:
Cross-Coupled ILC for Improved Precision Motion Control: Design and Implementation. ACC 2007: 5496-5502
Coauthor Index
Maani Ghaffari Jadidi
aka: Maani Ghaffari
aka: Maani Ghaffari
[j49] [j48] [j47] [j46] [j44] [j43] [c68] [c66] [i20] [j41] [j40] [j38] [j37] [j36] [c65] [c64] [c63] [i16] [i15] [j33] [j28] [c55] [c53] [c52] [c51] [i10] [j25] [j24] [j23] [c49] [c47] [i3] [j22] [j18] [c42] [j14] [j13] [c37] [c36] [c34] [c33] [j10] [j9] [c26] [c25] [c24] [j7] [j6] [c22] [c21] [c18] [c14]
Christopher Vermillion
aka: Chris Vermillion
aka: Chris Vermillion
Maxwell Wu
aka: Maxwell J. Wu
aka: Maxwell J. Wu
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