Best Student Paper on Vibrations Award, ASME Dynamic Systems and Control Division
Our work “Optimal loop shaping and disturbance rejection beyond the nyquist frequency using a forward model disturbance observer and convex optimization based filter design” (Thomas Chu, Xiaohai Hu, Xu Chen), presented at IEEE American Control Conference 2024, won the best Student Paper on Vibrations Award from the ASME Dynamic Systems and Control Division. Congratulations Thomas and Xiaohai. A big thank you to NSF for their generous funding, which made this work possible.
Oct 25, 2024
ARM Champion Award
I am honored to have been named an ARM Champion, an award recognizing individuals from over ARM’s 400 member organizations who go above and beyond the standard call of membership. This recognition is especially meaningful as I was nominated by both the internal ARM Institute technology team and Debbie Franklin, Associate Vice President of Strategic Initiatives and Industry Engagement at Wichita State University. I am deeply grateful for the support and encouragement of my colleagues and collaborators who make achievements like this possible. You can read more about the 2024 Class of Champions here. Thank you all for being an integral part of this journey!
Sep 20, 2024
Best Paper, ISCIE/ASME International Symposium on Flexible Automation
“Agile Surface Inspection Framework for Aerospace Components Using Unsupervised Machine Learning,” Arun Nandagopal, Abhishek Kulkarni, Colin Acton, Krithika Manohar, and Xu Chen, Japan Institute of Systems, Control, and Information Engineers (ISCIE) / ASME International Symposium on Flexible Automation It’s been almost six years since we started working on robotic high-precision inspection. There have been so many exciting results (and unexpected happy surprises) along the path. This segmentation result takes in complex geometries, performs optimization to assure full-surface coverage, and provides occlusion-free image capture. The processes are strategically designed to utilize the optimal number of imaging locations, make in-focus image acquisitions, and maintain their applicability across different robots.
Jul 24, 2024
Effect of Intra-Build Design Parameters on the Fracture Toughness Properties of EBM Ti6Al4V
Jul 1, 2024
Agile Surface Inspection Framework for Aerospace Components Using Unsupervised Machine Learning
Jul 1, 2024
Boeing Visiting Professorship
I am honored to have been selected as one of twenty professors worldwide to participate in an immersive in-person visiting experience at Boeing. This program, part of the revitalized Boeing Visiting Professor Program, marks its second year in 2024, providing an incredible opportunity to engage with Boeing’s innovative environment and foster academic-industry collaboration.
Jun 20, 2024
A Robotic Surface Inspection Framework and Machine-Learning Based Optimal Segmentation For Aerospace and Precision Manufacturing
Jan 1, 2024
Multi-Track Melt Pool Width Modeling in Powder Bed Fusion Additive Manufacturing
Oct 1, 2023
Control-oriented Modeling and Multirate Feedback Control in Laser Powder Bed Fusion Additive Manufacturing
Oct 1, 2023
Collaborative Robotics, Controls, and Machine Learning for Automated Visual Inspection of Complex Parts and Surfaces
Oct 1, 2023