Paper-Conference

Iterative Youla-Kucera Loop Shaping For Precision Motion Control
This paper presents a numerically robust approach to multi-band disturbance rejection using an iterative Youla-Kucera parameterization …
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Learning to Detect Slip through Tactile Estimation of the Contact Force Field and its Entropy Properties
Slip detection during object grasping and manipulation plays a vital role in object handling. Visual feedback can help devise a …
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Learning to Detect Slip through Tactile Estimation of the Contact Force Field and its Entropy Properties
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 …
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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 …
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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 …
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Optimal Loop Shaping and Disturbance Rejection Beyond the Nyquist Frequency using a Forward Model Disturbance Observer and Convex Optimization Based Filter Design
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, …
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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. …
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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 …
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Least Squares Solution for System Identification with Non-uniform Data under a Coprime Collaborative Sensing Scheme
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 …
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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) …
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