1-20 of 25
Kira Barton
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing

Zhi Zhang, Antony George, Md. Ferdous Alam, Chris Eubel, Chaitanya Krishna Prasad Vallabh, Max Shtein, Kira Barton, David J. Hoelzle
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2024, 146(3): 031008.
Paper No: MANU-23-1313
https://doi.org/10.1115/1.4064321
Published Online: January 12, 2024
View Article titled, An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing
Open the PDF for An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing in another window
Topics: Additive manufacturing, Design, Manufacturing, Spectra (Spectroscopy), Testing, Phononic crystals, Manufacturing systems
Proceedings Papers

The Effect of Voltage on the Initiation of Natural Pulsation in Electrohydrodynamic Jet Printing

Angelo Hawa, Ali Bahrami, Kira Barton
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A009, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-103321
https://doi.org/10.1115/MSEC2023-103321
View Paper titled, The Effect of Voltage on the Initiation of Natural Pulsation in Electrohydrodynamic Jet Printing
Open the PDF for The Effect of Voltage on the Initiation of Natural Pulsation in Electrohydrodynamic Jet Printing in another window
Topics: Additive manufacturing, Electrohydrodynamics, Printing
Proceedings Papers

Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process

Jonathan B. Sim, Kavan N. Shah, Miguel Saez, Jeffrey Abell, Yanli Zhou, John Faris, Dawn M. Tilbury, Kira Barton
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A016, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-106670
https://doi.org/10.1115/MSEC2023-106670
View Paper titled, Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process
Open the PDF for Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process in another window
Topics: Bridges (Structures), Computer software, Computer-aided design, Computer-aided engineering, Design, Digital twin, Maintenance, Manufacturing systems, Modeling, Plant engineering (Facilities)
Journal Articles

Simultaneous Human-Robot Matching and Routing for Multi-Robot Tour Guiding Under Time Uncertainty

Bo Fu, Tribhi Kathuria, Denise Rizzo, Matthew Castanier, X. Jessie Yang, Maani Ghaffari, Kira Barton
Journal: Journal of Autonomous Vehicles and Systems
Publisher: ASME
Article Type: Research Papers
J. Auton. Veh. Sys. October 2021, 1(4): 041005.
Paper No: JAVS-21-1034
https://doi.org/10.1115/1.4053428
Published Online: February 4, 2022
View Article titled, Simultaneous Human-Robot Matching and Routing for Multi-Robot Tour Guiding Under Time Uncertainty
Open the PDF for Simultaneous Human-Robot Matching and Routing for Multi-Robot Tour Guiding Under Time Uncertainty in another window
Topics: Multi-robot systems, Robots, Simulation, Uncertainty, Navigation
Proceedings Papers

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

Hao Wang, Yassine Qamsane, James Moyne, Kira Barton
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A006, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63661
https://doi.org/10.1115/MSEC2021-63661
View Paper titled, Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification
Open the PDF for Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification in another window
Topics: Artificial neural networks, Machine components, Engineering simulation, Machinery, Simulation, Testing, Time series, Cyber-physical systems, Delays, Design
Journal Articles

Developing the Workforce for Next-Generation Smart Manufacturing Systems: A Multidisciplinary Research Team Approach

Ilya Kovalenko, Efe C. Balta, Yassine Qamsane, Patricia D. Koman, Xiao Zhu, Yikai Lin, Dawn M. Tilbury, Z. Morley Mao, Kira Barton
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. May 2021, 5(2): 4–24.
Paper No: SSMS20200009
https://doi.org/10.1520/SSMS20200009
Published Online: May 27, 2021
View Article titled, Developing the Workforce for Next-Generation Smart Manufacturing Systems: A Multidisciplinary Research Team Approach
Open the PDF for Developing the Workforce for Next-Generation Smart Manufacturing Systems: A Multidisciplinary Research Team Approach in another window
Proceedings Papers

Robustness Optimization of Product Assembly Architecture for Personalization

Changbai Tan, Theodor Freiheit, Kira Barton, Mihaela Banu, S. Jack Hu
Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A062, November 16–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-23654
https://doi.org/10.1115/IMECE2020-23654
View Paper titled, Robustness Optimization of Product Assembly Architecture for Personalization
Open the PDF for Robustness Optimization of Product Assembly Architecture for Personalization in another window
Topics: Manufacturing, Optimization, Preferences, Robustness, Sensitivity analysis
Proceedings Papers

A Control-Oriented Dynamical Model of Deposited Droplet Volume in Electrohydrodynamic Jet Printing

Isaac A. Spiegel, Tom van de Laar, Tom Oomen, Kira Barton
Proc. ASME. DSCC2020, Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, V002T24A003, October 5–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2020-3238
https://doi.org/10.1115/DSCC2020-3238
View Paper titled, A Control-Oriented Dynamical Model of Deposited Droplet Volume in Electrohydrodynamic Jet Printing
Open the PDF for A Control-Oriented Dynamical Model of Deposited Droplet Volume in Electrohydrodynamic Jet Printing in another window
Topics: Drops, Electrohydrodynamics, Printing, Resolution (Optics), Additive manufacturing, Biotechnology, Dynamic systems, Dynamics (Mechanics), Electronics, Manufacturing
Proceedings Papers

Autonomous Manufacturing Using Machine Learning: A Computational Case Study With a Limited Manufacturing Budget

Md. Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A009, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8472
https://doi.org/10.1115/MSEC2020-8472
View Paper titled, Autonomous Manufacturing Using Machine Learning: A Computational Case Study With a Limited Manufacturing Budget
Open the PDF for Autonomous Manufacturing Using Machine Learning: A Computational Case Study With a Limited Manufacturing Budget in another window
Topics: Machine learning, Manufacturing, Algorithms, Design, Manufacturing systems, Acoustics, Phononic crystals, Spectra (Spectroscopy)
Journal Articles

A Review of Manufacturing Process Control

Robert G. Landers, Kira Barton, Santosh Devasia, Thomas Kurfess, Prabhakar Pagilla, Masayoshi Tomizuka
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Review Articles
J. Manuf. Sci. Eng. November 2020, 142(11): 110814.
Paper No: MANU-20-1096
https://doi.org/10.1115/1.4048111
Published Online: September 28, 2020
View Article titled, A Review of Manufacturing Process Control
Open the PDF for A Review of Manufacturing Process Control in another window
Topics: Control equipment, Design, Machining, Manufacturing, Modeling, Temperature, Feedback, Grinding, Sensors, Dynamics (Mechanics)
Journal Articles

Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation

Ritika Sibal, Ding Zhang, Julie Rocho-Levine, K. Alex Shorter, Kira Barton
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021002.
Paper No: ALDSC-19-1081
https://doi.org/10.1115/1.4046685
Published Online: April 8, 2020
View Article titled, Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation
Open the PDF for Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation in another window
Topics: Artificial neural networks, Machine learning, Probability, Sensors, State estimation, Signals, Support vector machines, Image segmentation, Testing
Journal Articles

Spatial Iterative Learning Control for Multi-material Three-Dimensional Structures

Zahra Afkhami, Christopher Pannier, Leontine Aarnoudse, David Hoelzle, Kira Barton
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. January 2021, 1(1): 011011.
Paper No: ALDSC-19-1099
https://doi.org/10.1115/1.4046576
Published Online: March 26, 2020
View Article titled, Spatial Iterative Learning Control for Multi-material Three-Dimensional Structures
Open the PDF for Spatial Iterative Learning Control for Multi-material Three-Dimensional Structures in another window
Topics: Additive manufacturing, Design, Dynamics (Mechanics), Filters, Iterative learning control, Printing, Signals, Simulation, Simulation results, System dynamics
Proceedings Papers

A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System

Zixuan Yang, Huaiyuan Teng, Jeremy Goldhawk, Ilya Kovalenko, Efe C. Balta, Felipe Lopez, Dawn Tilbury, Kira Barton
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A024, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2966
https://doi.org/10.1115/MSEC2019-2966
View Paper titled, A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System
Open the PDF for A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System in another window
Topics: Manufacturing systems, Quality control, Computers, Computer-aided design, Metrology, Pipelines, Control equipment, Dimensional metrology, Dimensions, Algorithms
Proceedings Papers

Spatial Iterative Learning Control for Multi-Material 3D-Structures

Zahra Afkhami, Christopher Pannier, Leontine Aarnoudse, David Hoelzle, Kira Barton
Proc. ASME. DSCC2019, Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, V001T10A004, October 8–11, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2019-9192
https://doi.org/10.1115/DSCC2019-9192
View Paper titled, Spatial Iterative Learning Control for Multi-Material 3D-Structures
Open the PDF for Spatial Iterative Learning Control for Multi-Material 3D-Structures in another window
Proceedings Papers

Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation

Ritika Sibal, Ding Zhang, Julie Rocho-Levine, K. Alex Shorter, Kira Barton
Proc. ASME. DSCC2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control, V002T24A005, October 8–11, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2019-9198
https://doi.org/10.1115/DSCC2019-9198
View Paper titled, Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation
Open the PDF for Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation in another window
Proceedings Papers

Behavior Inference From Bio-Logging Sensors: A Systematic Approach for Feature Generation, Selection and State Classification

Ding Zhang, K. Alex Shorter, Julie Rocho-Levine, Julie van der Hoop, Michael Moore, Kira Barton
Proc. ASME. DSCC2018, Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems, V002T21A005, September 30–October 3, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2018-9213
https://doi.org/10.1115/DSCC2018-9213
View Paper titled, Behavior Inference From Bio-Logging Sensors: A Systematic Approach for Feature Generation, Selection and State Classification
Open the PDF for Behavior Inference From Bio-Logging Sensors: A Systematic Approach for Feature Generation, Selection and State Classification in another window
Topics: Sensors, Algorithms, Feature selection, Probability, Robustness, Trains
Journal Articles

SMART: A System-Level Manufacturing and Automation Research Testbed

Ilya Kovalenko, Miguel Saez, Kira Barton, Dawn Tilbury
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Research-Article
Smart Sustain. Manuf. Syst.. October 2017, 1(1): 232–261.
Paper No: SSMS20170006
https://doi.org/10.1520/SSMS20170006
Published Online: October 27, 2017
View Article titled, SMART: A System-Level Manufacturing and Automation Research Testbed
Open the PDF for SMART: A System-Level Manufacturing and Automation Research Testbed in another window
Journal Articles

A Dynamical Model of Drop Spreading in Electrohydrodynamic Jet Printing

Christopher P. Pannier, Mamadou Diagne, Isaac A. Spiegel, David J. Hoelzle, Kira Barton
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. November 2017, 139(11): 111008.
Paper No: MANU-17-1329
https://doi.org/10.1115/1.4037436
Published Online: September 13, 2017
View Article titled, A Dynamical Model of Drop Spreading in Electrohydrodynamic Jet Printing
Open the PDF for A Dynamical Model of Drop Spreading in Electrohydrodynamic Jet Printing in another window
Topics: Electrohydrodynamics, Printing, Simulation, Dynamics (Mechanics)
Proceedings Papers

Production as a Service: Optimizing Utilization in Manufacturing Systems

Matthew Porter, Vikram Raghavan, Yikai Lin, Z. Morley Mao, Kira Barton, Dawn Tilbury
Proc. ASME. DSCC2016, Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control, V002T21A012, October 12–14, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2016-9908
https://doi.org/10.1115/DSCC2016-9908
View Paper titled, Production as a Service: Optimizing Utilization in Manufacturing Systems
Open the PDF for Production as a Service: Optimizing Utilization in Manufacturing Systems in another window
Topics: Architecture, Bridges (Structures), Manufacturing, Manufacturing industry, Manufacturing systems, Mass production
Proceedings Papers

An Iterative Learning Control Approach to Multi-Agent Formations

Michael Quann, Kira Barton
Proc. ASME. DSCC2015, Volume 3: Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems, V003T37A009, October 28–30, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2015-9872
https://doi.org/10.1115/DSCC2015-9872
View Paper titled, An Iterative Learning Control Approach to Multi-Agent Formations
Open the PDF for An Iterative Learning Control Approach to Multi-Agent Formations in another window
Topics: Iterative learning control, Control equipment, Trajectories (Physics), Dynamics (Mechanics), Engineering simulation, Simulation, Stability