Iterative Learning Control for robotic deposition using machine vision. - David J. Hoelzle; Andrew G. Alleyne; Amy J. Wagoner Johnson (ACC, 2008)

Iterative Learning Control using a basis signal library. - David J. Hoelzle; Andrew G. Alleyne; Amy J. Wagoner Johnson (ACC, 2009)

Bumpless transfer for a flexible adaptation of Iterative Learning Control. - David J. Hoelzle; Andrew G. Alleyne; Amy J. Wagoner Johnson (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)

Basis Task Approach to Iterative Learning Control With Applications to Micro-Robotic Deposition. - David J. Hoelzle; Andrew G. Alleyne; Amy J. Wagoner Johnson (IEEE Trans. Control. Syst. Technol., 2011)

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

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

Bumpless Transfer Filter for Exogenous Feedforward Signals. - David J. Hoelzle; Amy J. Wagoner Johnson; Andrew G. Alleyne (IEEE Trans. Control. Syst. Technol., 2014)

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)

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)

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)

On the feasibility of a temperature state observer for powder bed fusion additive manufacturing. - Nathaniel Wood; David J. Hoelzle (ACC, 2018)

Hybrid System Model of Microextrusion-Based Direct-Write Additive Manufacturing. - Ali Asghari Adib; David J. Hoelzle (ACC, 2019)

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

Coupled Dynamics of Material Delivery and Robotic Manipulator Axes in Endoscopic Additive Manufacturing. - Andrej Simeunovic; David J. Hoelzle (ACC, 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)

Temperature states in Powder Bed Fusion additive manufacturing are structurally controllable and observable. - Nathaniel Wood; David J. Hoelzle (CoRR, 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)

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)

The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process. - Nathaniel Wood; Edwin Schwalbach; Andrew Gillman; David J. Hoelzle (ACC, 2021)

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

Hybrid Control of Flowrate in Microextrusion-Based Direct-Write Additive Manufacturing. - Ali Asghari Adib; David J. Hoelzle (IEEE Control. Syst. Lett., 2022)

A Surgical Robot for Intracorporeal Additive Manufacturing of Tissue Engineering Constructs. - Andrej Simeunovic; Kevin Wolf; Kollin Tierling; David J. Hoelzle (IEEE Robotics Autom. Lett., 2022)

An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability. - Md Ferdous Alam; Parinaz Naghizadeh; David J. Hoelzle (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)

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