59 citations · 107 across the 10 of their papers we have counts for
10 papers
Collaborative Contextual Bayesian Optimization
Chih-Yu Chang, Qiyuan Chen, Tianhan Gao +5
Discovering optimal designs through sequential data collection is essential in many real-world applications. While Bayesian Optimization (BO) has achieved remarkable success in thi…
Vector-level Feedforward Control of LPBF Melt Pool Area Using a Physics-Based Thermal Model
Nicholas Kirschbaum, Nathaniel Wood, Chang-Eun Kim +2
Laser powder bed fusion (LPBF) is an additive manufacturing technique that has gained popularity thanks to its ability to produce geometrically complex, fully dense metal parts. Ho…
A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
Weishi Wang, Sicong Guo, Chenhuan Jiang +5
Fleets of networked manufacturing machines of the same type, that are collocated or geographically distributed, are growing in popularity. An excellent example is the rise of 3D pr…
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
Chih-Yu Chang, Milad Azvar, Chinedum Okwudire +1
Bayesian optimization (BO) is a sequential decision-making tool widely used for optimizing expensive black-box functions. Recently, Large Language Models (LLMs) have shown remarkab…
Vibration Compensation of Delta 3D Printer with Position-varying Dynamics using Filtered B-Splines
Nosakhare Edoimioya, Cheng-Hao Chou, Chinedum E. Okwudire
The delta robot is becoming a popular choice for the mechanical design of fused filament fabrication 3D printers because it can reach higher speeds than traditional serial-axis des…
A physics-guided data-driven feedforward tracking controller for systems with unmodeled dynamics -- applied to 3D printing
Cheng-Hao Chou, Molong Duan, Chinedum E. Okwudire
A hybrid (i.e., physics-guided data-driven) feedforward tracking controller is proposed for systems with unmodeled linear or nonlinear dynamics. The controller is based on the filt…
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Kontar, Naichen Shi, Xubo Yue +12
The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the future, IoFT, the cloud will be substituted by the crowd where model training is br…
Software Compensation of Undesirable Racking Motion of H-frame 3D Printers using Filtered B-Splines
Nosakhare Edoimioya, Keval S. Ramani, Chinedum E. Okwudire
The H-frame (also known as H-Bot) architecture is a simple and elegant two-axis parallel positioning system used to construct the XY stage of 3D printers. It holds potential for hi…
Combined servo error pre-compensation and feedrate optimization -- with application to a 3D printer and precision motion stage
Heejin Kim, Chinedum E. Okwudire
Servo error pre-compensation and feedrate optimization are often performed independently to improve the accuracy and speed of manufacturing machines. However, this independent appr…
Friction-induced instability and vibration in a precision motion stage with a friction isolator
Jiamin Wang, Xin Dong, Oumar R. Barry +1
Motion stages are widely used for precision positioning in manufacturing and metrology applications. However, they suffer from nonlinear premotion (i.e. "static") friction, which a…