MACS LAB
MACS LAB
Home
Research
People
Publications
News
Outreach
Teaching
Contact
Paper-Conference
Agile Surface Inspection Framework for Aerospace Components Using Unsupervised Machine Learning
Quality Control is an important step in manufacturing machined parts, especially complex, customized parts for safety critical systems …
Arun Nandagopal
,
Abhishek Kulkarni
,
Colin Acton
,
Krithika Manohar
,
Xu Chen
PDF
Cite
Learned Slip-Detection-Severity Framework using Tactile Deformation Field Feedback for Robotic Manipulation
Safely handling objects and avoiding slippage are fundamental challenges in robotic manipulation, yet traditional techniques often …
Neel Anand Jawale
,
Navneet Kaur
,
Elizabeth Amy Santoso
,
Xiaohai Hu
,
Xu Chen
Cite
DOI
Optimal Loop Shaping and Disturbance Rejection Beyond the Nyquist Frequency using a Forward Model Disturbance Observer and Convex Optimization Based Filter Design
Loop shaping based on the disturbance observer (DOB) offers great flexibility in designing a control system’s closed-loop …
Thomas Chu
,
Xiaohai Hu
,
Xu Chen
PDF
Cite
DOI
State-Space System Identification beyond the Nyquist Frequency with Collaborative Non-Uniform Sensing Data
In a multirate sampled-data system encompassing a continuous-time process and multiple output samplers with different sampling periods, …
Xiaohai Hu
,
Thomas Chu
,
Xu Chen
PDF
Cite
DOI
Understanding and Controlling the Sensitivity of Event Cameras in Responding to Static Objects
Event cameras are sensors that asynchronously measure the brightness change of each pixel with a microsecond-level time resolution. …
Qiyao Gao
,
Xiaoyang Sun
,
Zhitao Yu
,
Xu Chen
PDF
Cite
Least Squares Solution for System Identification with Non-uniform Data under a Coprime Collaborative Sensing Scheme
This paper presents a least squares formulation and a closed-form solution for identifying dynamical systems using non-uniform data …
Jinhua Ouyang
,
Xu Chen
PDF
Cite
DOI
Control-oriented Modeling and Learning of Fast 3-Dimensional Laser-material Interaction from 2-Dimensional Images
In this paper, we propose a hybrid convolutional neural network (CNN) architecture that can identify the melt pool width (MPW) and melt …
John Shim
,
Xu Chen
PDF
Cite
A Mass-Transfer Based Approach to Model and Predict Volatile Organic Compound Emission from Selective Laser Sintering
Released during 3-dimensional (3D) printing polymeric parts and many other industrial processes, the volatile organic compounds (VOCs) …
Feifei Yang
,
Xu Chen
PDF
Cite
DOI
Learning Of Fast 3-dimensional Laser-material Interaction From 2-dimensional Images
In this paper, we propose a hybrid convolutional neural network architecture that can identify the melt pool depth (MPD), a melt pool …
John Shim
,
Xu Chen
PDF
Cite
Target Tracking Under Delayed and Irregularly-Sampled Visual Feedback for a Robotic Air-Hockey System
We present a target tracking system for a robotic air-hockey player, where the state of the puck is optimally estimated by fusing …
Hui Xiao
,
Xu Chen
PDF
Cite
DOI
»
Cite
×